The package manager for modern database drivers

To use ADBC with BigQuery in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "bigquery", &error)

→ See a full example showing how to use the BigQuery ADBC driver with C++

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "cassandra", &error)

→ See a full example showing how to use the Apache Cassandra ADBC driver with C++

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "chdb", &error)

→ See a full example showing how to use the chDB ADBC driver with C++

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "clickhouse", &error)

→ See a full example showing how to use the ClickHouse ADBC driver with C++

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "databricks", &error)

→ See a full example showing how to use the Databricks ADBC driver with C++

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "datafusion", &error)

→ See a full example showing how to use the Apache DataFusion ADBC driver with C++

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "druid", &error)

→ See a full example showing how to use the Apache Druid ADBC driver with C++

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "duckdb", &error)

→ See a full example showing how to use the DuckDB ADBC driver with C++

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "exasol", &error)

→ See a full example showing how to use the Exasol ADBC driver with C++

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "flightsql", &error)

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with C++

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "mssql", &error)

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with C++

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "mysql", &error)

→ See a full example showing how to use the MySQL ADBC driver with C++

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
5. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "oracle", &error)

→ See a full example showing how to use the Oracle Database ADBC driver with C++

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "postgresql", &error)

→ See a full example showing how to use the PostgreSQL ADBC driver with C++

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "presto", &error)

→ See a full example showing how to use the Presto ADBC driver with C++

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "quack", &error)

→ See a full example showing how to use the Quack ADBC driver with C++

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "redshift", &error)

→ See a full example showing how to use the Amazon Redshift ADBC driver with C++

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "singlestore", &error)

→ See a full example showing how to use the SingleStore ADBC driver with C++

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "snowflake", &error)

→ See a full example showing how to use the Snowflake ADBC driver with C++

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "spark", &error)

→ See a full example showing how to use the Apache Spark ADBC driver with C++

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "sqlite", &error)

→ See a full example showing how to use the SQLite ADBC driver with C++

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
5. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "teradata", &error)

→ See a full example showing how to use the Teradata ADBC driver with C++

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in C++ on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "trino", &error)

→ See a full example showing how to use the Trino ADBC driver with C++

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("bigquery");

→ See a full example showing how to use the BigQuery ADBC driver with C#

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("cassandra");

→ See a full example showing how to use the Apache Cassandra ADBC driver with C#

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("chdb");

→ See a full example showing how to use the chDB ADBC driver with C#

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("clickhouse");

→ See a full example showing how to use the ClickHouse ADBC driver with C#

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("databricks");

→ See a full example showing how to use the Databricks ADBC driver with C#

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("datafusion");

→ See a full example showing how to use the Apache DataFusion ADBC driver with C#

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("druid");

→ See a full example showing how to use the Apache Druid ADBC driver with C#

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("duckdb");

→ See a full example showing how to use the DuckDB ADBC driver with C#

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("exasol");

→ See a full example showing how to use the Exasol ADBC driver with C#

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("flightsql");

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with C#

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("mssql");

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with C#

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("mysql");

→ See a full example showing how to use the MySQL ADBC driver with C#

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
5. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("oracle");

→ See a full example showing how to use the Oracle Database ADBC driver with C#

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("postgresql");

→ See a full example showing how to use the PostgreSQL ADBC driver with C#

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("presto");

→ See a full example showing how to use the Presto ADBC driver with C#

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("quack");

→ See a full example showing how to use the Quack ADBC driver with C#

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("redshift");

→ See a full example showing how to use the Amazon Redshift ADBC driver with C#

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("singlestore");

→ See a full example showing how to use the SingleStore ADBC driver with C#

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("snowflake");

→ See a full example showing how to use the Snowflake ADBC driver with C#

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("spark");

→ See a full example showing how to use the Apache Spark ADBC driver with C#

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("sqlite");

→ See a full example showing how to use the SQLite ADBC driver with C#

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
5. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("teradata");

→ See a full example showing how to use the Teradata ADBC driver with C#

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in C# on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("trino");

→ See a full example showing how to use the Trino ADBC driver with C#

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "bigquery", ... })

→ See a full example showing how to use the BigQuery ADBC driver with Go

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "cassandra", ... })

→ See a full example showing how to use the Apache Cassandra ADBC driver with Go

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "chdb", ... })

→ See a full example showing how to use the chDB ADBC driver with Go

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "clickhouse", ... })

→ See a full example showing how to use the ClickHouse ADBC driver with Go

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "databricks", ... })

→ See a full example showing how to use the Databricks ADBC driver with Go

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "datafusion", ... })

→ See a full example showing how to use the Apache DataFusion ADBC driver with Go

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "druid", ... })

→ See a full example showing how to use the Apache Druid ADBC driver with Go

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "duckdb", ... })

→ See a full example showing how to use the DuckDB ADBC driver with Go

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "exasol", ... })

→ See a full example showing how to use the Exasol ADBC driver with Go

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "flightsql", ... })

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with Go

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "mssql", ... })

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with Go

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "mysql", ... })

→ See a full example showing how to use the MySQL ADBC driver with Go

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
5. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "oracle", ... })

→ See a full example showing how to use the Oracle Database ADBC driver with Go

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "postgresql", ... })

→ See a full example showing how to use the PostgreSQL ADBC driver with Go

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "presto", ... })

→ See a full example showing how to use the Presto ADBC driver with Go

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "quack", ... })

→ See a full example showing how to use the Quack ADBC driver with Go

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "redshift", ... })

→ See a full example showing how to use the Amazon Redshift ADBC driver with Go

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "singlestore", ... })

→ See a full example showing how to use the SingleStore ADBC driver with Go

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "snowflake", ... })

→ See a full example showing how to use the Snowflake ADBC driver with Go

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "spark", ... })

→ See a full example showing how to use the Apache Spark ADBC driver with Go

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "sqlite", ... })

→ See a full example showing how to use the SQLite ADBC driver with Go

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
5. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "teradata", ... })

→ See a full example showing how to use the Teradata ADBC driver with Go

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in Go on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "trino", ... })

→ See a full example showing how to use the Trino ADBC driver with Go

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "bigquery");

→ See a full example showing how to use the BigQuery ADBC driver with Java

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "cassandra");

→ See a full example showing how to use the Apache Cassandra ADBC driver with Java

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "chdb");

→ See a full example showing how to use the chDB ADBC driver with Java

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "clickhouse");

→ See a full example showing how to use the ClickHouse ADBC driver with Java

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "databricks");

→ See a full example showing how to use the Databricks ADBC driver with Java

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "datafusion");

→ See a full example showing how to use the Apache DataFusion ADBC driver with Java

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "druid");

→ See a full example showing how to use the Apache Druid ADBC driver with Java

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "duckdb");

→ See a full example showing how to use the DuckDB ADBC driver with Java

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "exasol");

→ See a full example showing how to use the Exasol ADBC driver with Java

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "flightsql");

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with Java

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "mssql");

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with Java

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "mysql");

→ See a full example showing how to use the MySQL ADBC driver with Java

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
5. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "oracle");

→ See a full example showing how to use the Oracle Database ADBC driver with Java

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "postgresql");

→ See a full example showing how to use the PostgreSQL ADBC driver with Java

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "presto");

→ See a full example showing how to use the Presto ADBC driver with Java

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "quack");

→ See a full example showing how to use the Quack ADBC driver with Java

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "redshift");

→ See a full example showing how to use the Amazon Redshift ADBC driver with Java

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "singlestore");

→ See a full example showing how to use the SingleStore ADBC driver with Java

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "snowflake");

→ See a full example showing how to use the Snowflake ADBC driver with Java

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "spark");

→ See a full example showing how to use the Apache Spark ADBC driver with Java

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "sqlite");

→ See a full example showing how to use the SQLite ADBC driver with Java

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
5. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "teradata");

→ See a full example showing how to use the Teradata ADBC driver with Java

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in Java on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "trino");

→ See a full example showing how to use the Trino ADBC driver with Java

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'bigquery', ... });

→ See a full example showing how to use the BigQuery ADBC driver with JavaScript

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'cassandra', ... });

→ See a full example showing how to use the Apache Cassandra ADBC driver with JavaScript

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'chdb', ... });

→ See a full example showing how to use the chDB ADBC driver with JavaScript

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'clickhouse', ... });

→ See a full example showing how to use the ClickHouse ADBC driver with JavaScript

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'databricks', ... });

→ See a full example showing how to use the Databricks ADBC driver with JavaScript

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'datafusion', ... });

→ See a full example showing how to use the Apache DataFusion ADBC driver with JavaScript

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'druid', ... });

→ See a full example showing how to use the Apache Druid ADBC driver with JavaScript

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'duckdb', ... });

→ See a full example showing how to use the DuckDB ADBC driver with JavaScript

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'exasol', ... });

→ See a full example showing how to use the Exasol ADBC driver with JavaScript

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'flightsql', ... });

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with JavaScript

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'mssql', ... });

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with JavaScript

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'mysql', ... });

→ See a full example showing how to use the MySQL ADBC driver with JavaScript

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
5. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'oracle', ... });

→ See a full example showing how to use the Oracle Database ADBC driver with JavaScript

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'postgresql', ... });

→ See a full example showing how to use the PostgreSQL ADBC driver with JavaScript

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'presto', ... });

→ See a full example showing how to use the Presto ADBC driver with JavaScript

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'quack', ... });

→ See a full example showing how to use the Quack ADBC driver with JavaScript

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'redshift', ... });

→ See a full example showing how to use the Amazon Redshift ADBC driver with JavaScript

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'singlestore', ... });

→ See a full example showing how to use the SingleStore ADBC driver with JavaScript

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'snowflake', ... });

→ See a full example showing how to use the Snowflake ADBC driver with JavaScript

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'spark', ... });

→ See a full example showing how to use the Apache Spark ADBC driver with JavaScript

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'sqlite', ... });

→ See a full example showing how to use the SQLite ADBC driver with JavaScript

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
5. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'teradata', ... });

→ See a full example showing how to use the Teradata ADBC driver with JavaScript

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in JavaScript on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'trino', ... });

→ See a full example showing how to use the Trino ADBC driver with JavaScript

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "bigquery")

→ See a full example showing how to use the BigQuery ADBC driver with Kotlin

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "cassandra")

→ See a full example showing how to use the Apache Cassandra ADBC driver with Kotlin

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "chdb")

→ See a full example showing how to use the chDB ADBC driver with Kotlin

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "clickhouse")

→ See a full example showing how to use the ClickHouse ADBC driver with Kotlin

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "databricks")

→ See a full example showing how to use the Databricks ADBC driver with Kotlin

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "datafusion")

→ See a full example showing how to use the Apache DataFusion ADBC driver with Kotlin

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "druid")

→ See a full example showing how to use the Apache Druid ADBC driver with Kotlin

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "duckdb")

→ See a full example showing how to use the DuckDB ADBC driver with Kotlin

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "exasol")

→ See a full example showing how to use the Exasol ADBC driver with Kotlin

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "flightsql")

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with Kotlin

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "mssql")

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with Kotlin

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "mysql")

→ See a full example showing how to use the MySQL ADBC driver with Kotlin

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
5. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "oracle")

→ See a full example showing how to use the Oracle Database ADBC driver with Kotlin

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "postgresql")

→ See a full example showing how to use the PostgreSQL ADBC driver with Kotlin

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "presto")

→ See a full example showing how to use the Presto ADBC driver with Kotlin

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "quack")

→ See a full example showing how to use the Quack ADBC driver with Kotlin

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "redshift")

→ See a full example showing how to use the Amazon Redshift ADBC driver with Kotlin

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "singlestore")

→ See a full example showing how to use the SingleStore ADBC driver with Kotlin

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "snowflake")

→ See a full example showing how to use the Snowflake ADBC driver with Kotlin

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "spark")

→ See a full example showing how to use the Apache Spark ADBC driver with Kotlin

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "sqlite")

→ See a full example showing how to use the SQLite ADBC driver with Kotlin

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
5. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "teradata")

→ See a full example showing how to use the Teradata ADBC driver with Kotlin

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in Kotlin on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "trino")

→ See a full example showing how to use the Trino ADBC driver with Kotlin

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="bigquery", ... )

→ See a full example showing how to use the BigQuery ADBC driver with Python

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="cassandra", ... )

→ See a full example showing how to use the Apache Cassandra ADBC driver with Python

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="chdb", ... )

→ See a full example showing how to use the chDB ADBC driver with Python

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="clickhouse", ... )

→ See a full example showing how to use the ClickHouse ADBC driver with Python

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="databricks", ... )

→ See a full example showing how to use the Databricks ADBC driver with Python

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="datafusion", ... )

→ See a full example showing how to use the Apache DataFusion ADBC driver with Python

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="druid", ... )

→ See a full example showing how to use the Apache Druid ADBC driver with Python

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="duckdb", ... )

→ See a full example showing how to use the DuckDB ADBC driver with Python

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="exasol", ... )

→ See a full example showing how to use the Exasol ADBC driver with Python

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="flightsql", ... )

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with Python

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="mssql", ... )

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with Python

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="mysql", ... )

→ See a full example showing how to use the MySQL ADBC driver with Python

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
5. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="oracle", ... )

→ See a full example showing how to use the Oracle Database ADBC driver with Python

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="postgresql", ... )

→ See a full example showing how to use the PostgreSQL ADBC driver with Python

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="presto", ... )

→ See a full example showing how to use the Presto ADBC driver with Python

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="quack", ... )

→ See a full example showing how to use the Quack ADBC driver with Python

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="redshift", ... )

→ See a full example showing how to use the Amazon Redshift ADBC driver with Python

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="singlestore", ... )

→ See a full example showing how to use the SingleStore ADBC driver with Python

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="snowflake", ... )

→ See a full example showing how to use the Snowflake ADBC driver with Python

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="spark", ... )

→ See a full example showing how to use the Apache Spark ADBC driver with Python

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="sqlite", ... )

→ See a full example showing how to use the SQLite ADBC driver with Python

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
5. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="teradata", ... )

→ See a full example showing how to use the Teradata ADBC driver with Python

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in Python on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Install the ADBC driver manager and PyArrow libraries pip install adbc_driver_manager pyarrow
4. Use the driver in your Python code:

   from adbc_driver_manager import dbapi
   
   con = dbapi.connect(driver="trino", ... )

→ See a full example showing how to use the Trino ADBC driver with Python

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("bigquery")

→ See a full example showing how to use the BigQuery ADBC driver with R

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("cassandra")

→ See a full example showing how to use the Apache Cassandra ADBC driver with R

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("chdb")

→ See a full example showing how to use the chDB ADBC driver with R

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("clickhouse")

→ See a full example showing how to use the ClickHouse ADBC driver with R

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("databricks")

→ See a full example showing how to use the Databricks ADBC driver with R

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("datafusion")

→ See a full example showing how to use the Apache DataFusion ADBC driver with R

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("druid")

→ See a full example showing how to use the Apache Druid ADBC driver with R

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("duckdb")

→ See a full example showing how to use the DuckDB ADBC driver with R

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("exasol")

→ See a full example showing how to use the Exasol ADBC driver with R

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("flightsql")

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with R

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("mssql")

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with R

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("mysql")

→ See a full example showing how to use the MySQL ADBC driver with R

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
5. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("oracle")

→ See a full example showing how to use the Oracle Database ADBC driver with R

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("postgresql")

→ See a full example showing how to use the PostgreSQL ADBC driver with R

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("presto")

→ See a full example showing how to use the Presto ADBC driver with R

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("quack")

→ See a full example showing how to use the Quack ADBC driver with R

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("redshift")

→ See a full example showing how to use the Amazon Redshift ADBC driver with R

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("singlestore")

→ See a full example showing how to use the SingleStore ADBC driver with R

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("snowflake")

→ See a full example showing how to use the Snowflake ADBC driver with R

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("spark")

→ See a full example showing how to use the Apache Spark ADBC driver with R

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("sqlite")

→ See a full example showing how to use the SQLite ADBC driver with R

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
5. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("teradata")

→ See a full example showing how to use the Teradata ADBC driver with R

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in R on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Install the adbcdrivermanager R package install.packages("adbcdrivermanager")
4. Use the driver in your R code:

   library(adbcdrivermanager)
   
   drv <- adbc_driver("trino")

→ See a full example showing how to use the Trino ADBC driver with R

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "bigquery")

→ See a full example showing how to use the BigQuery ADBC driver with Ruby

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "cassandra")

→ See a full example showing how to use the Apache Cassandra ADBC driver with Ruby

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "chdb")

→ See a full example showing how to use the chDB ADBC driver with Ruby

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "clickhouse")

→ See a full example showing how to use the ClickHouse ADBC driver with Ruby

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "databricks")

→ See a full example showing how to use the Databricks ADBC driver with Ruby

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "datafusion")

→ See a full example showing how to use the Apache DataFusion ADBC driver with Ruby

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "druid")

→ See a full example showing how to use the Apache Druid ADBC driver with Ruby

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "duckdb")

→ See a full example showing how to use the DuckDB ADBC driver with Ruby

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "exasol")

→ See a full example showing how to use the Exasol ADBC driver with Ruby

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "flightsql")

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with Ruby

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "mssql")

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with Ruby

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "mysql")

→ See a full example showing how to use the MySQL ADBC driver with Ruby

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Install the red-adbc gem gem install red-adbc
5. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "oracle")

→ See a full example showing how to use the Oracle Database ADBC driver with Ruby

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "postgresql")

→ See a full example showing how to use the PostgreSQL ADBC driver with Ruby

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "presto")

→ See a full example showing how to use the Presto ADBC driver with Ruby

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "quack")

→ See a full example showing how to use the Quack ADBC driver with Ruby

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "redshift")

→ See a full example showing how to use the Amazon Redshift ADBC driver with Ruby

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "singlestore")

→ See a full example showing how to use the SingleStore ADBC driver with Ruby

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "snowflake")

→ See a full example showing how to use the Snowflake ADBC driver with Ruby

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "spark")

→ See a full example showing how to use the Apache Spark ADBC driver with Ruby

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "sqlite")

→ See a full example showing how to use the SQLite ADBC driver with Ruby

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Install the red-adbc gem gem install red-adbc
5. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "teradata")

→ See a full example showing how to use the Teradata ADBC driver with Ruby

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in Ruby on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Install the red-adbc gem gem install red-adbc
4. Use the driver in your Ruby code:

   require "adbc"
   database = ADBC::Database.new
   database.set_option("driver", "trino")

→ See a full example showing how to use the Trino ADBC driver with Ruby

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("bigquery", ... )

→ See a full example showing how to use the BigQuery ADBC driver with Rust

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("cassandra", ... )

→ See a full example showing how to use the Apache Cassandra ADBC driver with Rust

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("chdb", ... )

→ See a full example showing how to use the chDB ADBC driver with Rust

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("clickhouse", ... )

→ See a full example showing how to use the ClickHouse ADBC driver with Rust

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("databricks", ... )

→ See a full example showing how to use the Databricks ADBC driver with Rust

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("datafusion", ... )

→ See a full example showing how to use the Apache DataFusion ADBC driver with Rust

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("druid", ... )

→ See a full example showing how to use the Apache Druid ADBC driver with Rust

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("duckdb", ... )

→ See a full example showing how to use the DuckDB ADBC driver with Rust

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("exasol", ... )

→ See a full example showing how to use the Exasol ADBC driver with Rust

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("flightsql", ... )

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with Rust

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("mssql", ... )

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with Rust

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("mysql", ... )

→ See a full example showing how to use the MySQL ADBC driver with Rust

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
5. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("oracle", ... )

→ See a full example showing how to use the Oracle Database ADBC driver with Rust

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("postgresql", ... )

→ See a full example showing how to use the PostgreSQL ADBC driver with Rust

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("presto", ... )

→ See a full example showing how to use the Presto ADBC driver with Rust

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("quack", ... )

→ See a full example showing how to use the Quack ADBC driver with Rust

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("redshift", ... )

→ See a full example showing how to use the Amazon Redshift ADBC driver with Rust

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("singlestore", ... )

→ See a full example showing how to use the SingleStore ADBC driver with Rust

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("snowflake", ... )

→ See a full example showing how to use the Snowflake ADBC driver with Rust

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("spark", ... )

→ See a full example showing how to use the Apache Spark ADBC driver with Rust

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("sqlite", ... )

→ See a full example showing how to use the SQLite ADBC driver with Rust

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
5. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("teradata", ... )

→ See a full example showing how to use the Teradata ADBC driver with Rust

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in Rust on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Add the adbc_core and adbc_driver_manager crates to your Rust project cargo add adbc_core adbc_driver_manager
4. Use the driver in your Rust code:

   use adbc_driver_manager::ManagedDriver;
   
   let mut driver = ManagedDriver::load_from_name("trino", ... )

→ See a full example showing how to use the Trino ADBC driver with Rust

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "bigquery")

→ See a full example showing how to use the BigQuery ADBC driver with Scala

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "cassandra")

→ See a full example showing how to use the Apache Cassandra ADBC driver with Scala

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "chdb")

→ See a full example showing how to use the chDB ADBC driver with Scala

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "clickhouse")

→ See a full example showing how to use the ClickHouse ADBC driver with Scala

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "databricks")

→ See a full example showing how to use the Databricks ADBC driver with Scala

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "datafusion")

→ See a full example showing how to use the Apache DataFusion ADBC driver with Scala

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "druid")

→ See a full example showing how to use the Apache Druid ADBC driver with Scala

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "duckdb")

→ See a full example showing how to use the DuckDB ADBC driver with Scala

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "exasol")

→ See a full example showing how to use the Exasol ADBC driver with Scala

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "flightsql")

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with Scala

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "mssql")

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with Scala

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "mysql")

→ See a full example showing how to use the MySQL ADBC driver with Scala

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
5. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "oracle")

→ See a full example showing how to use the Oracle Database ADBC driver with Scala

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "postgresql")

→ See a full example showing how to use the PostgreSQL ADBC driver with Scala

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "presto")

→ See a full example showing how to use the Presto ADBC driver with Scala

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "quack")

→ See a full example showing how to use the Quack ADBC driver with Scala

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "redshift")

→ See a full example showing how to use the Amazon Redshift ADBC driver with Scala

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "singlestore")

→ See a full example showing how to use the SingleStore ADBC driver with Scala

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "snowflake")

→ See a full example showing how to use the Snowflake ADBC driver with Scala

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "spark")

→ See a full example showing how to use the Apache Spark ADBC driver with Scala

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "sqlite")

→ See a full example showing how to use the SQLite ADBC driver with Scala

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
5. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "teradata")

→ See a full example showing how to use the Teradata ADBC driver with Scala

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in Scala on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Scala code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "trino")

→ See a full example showing how to use the Trino ADBC driver with Scala

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying BigQuery with databow:

   databow --driver bigquery

→ Read the databow documentation to learn more about querying BigQuery from your terminal

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Apache Cassandra with databow:

   databow --driver cassandra

→ Read the databow documentation to learn more about querying Apache Cassandra from your terminal

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying chDB with databow:

   databow --driver chdb

→ Read the databow documentation to learn more about querying chDB from your terminal

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying ClickHouse with databow:

   databow --driver clickhouse

→ Read the databow documentation to learn more about querying ClickHouse from your terminal

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Databricks with databow:

   databow --driver databricks

→ Read the databow documentation to learn more about querying Databricks from your terminal

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Apache DataFusion with databow:

   databow --driver datafusion

→ Read the databow documentation to learn more about querying Apache DataFusion from your terminal

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Apache Druid with databow:

   databow --driver druid

→ Read the databow documentation to learn more about querying Apache Druid from your terminal

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying DuckDB with databow:

   databow --driver duckdb

→ Read the databow documentation to learn more about querying DuckDB from your terminal

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Exasol with databow:

   databow --driver exasol

→ Read the databow documentation to learn more about querying Exasol from your terminal

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Arrow Flight SQL with databow:

   databow --driver flightsql

→ Read the databow documentation to learn more about querying Arrow Flight SQL from your terminal

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Microsoft SQL Server with databow:

   databow --driver mssql

→ Read the databow documentation to learn more about querying Microsoft SQL Server from your terminal

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying MySQL with databow:

   databow --driver mysql

→ Read the databow documentation to learn more about querying MySQL from your terminal

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
5. Start querying Oracle Database with databow:

   databow --driver oracle

→ Read the databow documentation to learn more about querying Oracle Database from your terminal

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying PostgreSQL with databow:

   databow --driver postgresql

→ Read the databow documentation to learn more about querying PostgreSQL from your terminal

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Presto with databow:

   databow --driver presto

→ Read the databow documentation to learn more about querying Presto from your terminal

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Quack with databow:

   databow --driver quack

→ Read the databow documentation to learn more about querying Quack from your terminal

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Amazon Redshift with databow:

   databow --driver redshift

→ Read the databow documentation to learn more about querying Amazon Redshift from your terminal

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying SingleStore with databow:

   databow --driver singlestore

→ Read the databow documentation to learn more about querying SingleStore from your terminal

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Snowflake with databow:

   databow --driver snowflake

→ Read the databow documentation to learn more about querying Snowflake from your terminal

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Apache Spark with databow:

   databow --driver spark

→ Read the databow documentation to learn more about querying Apache Spark from your terminal

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying SQLite with databow:

   databow --driver sqlite

→ Read the databow documentation to learn more about querying SQLite from your terminal

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
5. Start querying Teradata with databow:

   databow --driver teradata

→ Read the databow documentation to learn more about querying Teradata from your terminal

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in Shell on Linux:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Install databow, the command-line tool for querying databases with ADBC uv tool install databow
4. Start querying Trino with databow:

   databow --driver trino

→ Read the databow documentation to learn more about querying Trino from your terminal

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "bigquery", &error)

→ See a full example showing how to use the BigQuery ADBC driver with C++

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "cassandra", &error)

→ See a full example showing how to use the Apache Cassandra ADBC driver with C++

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "chdb", &error)

→ See a full example showing how to use the chDB ADBC driver with C++

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "clickhouse", &error)

→ See a full example showing how to use the ClickHouse ADBC driver with C++

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "databricks", &error)

→ See a full example showing how to use the Databricks ADBC driver with C++

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "datafusion", &error)

→ See a full example showing how to use the Apache DataFusion ADBC driver with C++

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "druid", &error)

→ See a full example showing how to use the Apache Druid ADBC driver with C++

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "duckdb", &error)

→ See a full example showing how to use the DuckDB ADBC driver with C++

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "exasol", &error)

→ See a full example showing how to use the Exasol ADBC driver with C++

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "flightsql", &error)

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with C++

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "mssql", &error)

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with C++

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "mysql", &error)

→ See a full example showing how to use the MySQL ADBC driver with C++

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
5. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "oracle", &error)

→ See a full example showing how to use the Oracle Database ADBC driver with C++

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "postgresql", &error)

→ See a full example showing how to use the PostgreSQL ADBC driver with C++

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "presto", &error)

→ See a full example showing how to use the Presto ADBC driver with C++

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "quack", &error)

→ See a full example showing how to use the Quack ADBC driver with C++

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "redshift", &error)

→ See a full example showing how to use the Amazon Redshift ADBC driver with C++

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "singlestore", &error)

→ See a full example showing how to use the SingleStore ADBC driver with C++

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "snowflake", &error)

→ See a full example showing how to use the Snowflake ADBC driver with C++

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "spark", &error)

→ See a full example showing how to use the Apache Spark ADBC driver with C++

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "sqlite", &error)

→ See a full example showing how to use the SQLite ADBC driver with C++

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
5. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "teradata", &error)

→ See a full example showing how to use the Teradata ADBC driver with C++

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in C++ on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Install the libadbc-driver-manager and libarrow C++ libraries conda install -c conda-forge libadbc-driver-manager libarrow
4. Use the driver in your C++ code:

   #include <arrow-adbc/adbc.h>
   
   AdbcDatabaseSetOption(&database, "driver", "trino", &error)

→ See a full example showing how to use the Trino ADBC driver with C++

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("bigquery");

→ See a full example showing how to use the BigQuery ADBC driver with C#

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("cassandra");

→ See a full example showing how to use the Apache Cassandra ADBC driver with C#

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("chdb");

→ See a full example showing how to use the chDB ADBC driver with C#

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("clickhouse");

→ See a full example showing how to use the ClickHouse ADBC driver with C#

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("databricks");

→ See a full example showing how to use the Databricks ADBC driver with C#

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("datafusion");

→ See a full example showing how to use the Apache DataFusion ADBC driver with C#

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("druid");

→ See a full example showing how to use the Apache Druid ADBC driver with C#

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("duckdb");

→ See a full example showing how to use the DuckDB ADBC driver with C#

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("exasol");

→ See a full example showing how to use the Exasol ADBC driver with C#

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("flightsql");

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with C#

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("mssql");

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with C#

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("mysql");

→ See a full example showing how to use the MySQL ADBC driver with C#

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
5. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("oracle");

→ See a full example showing how to use the Oracle Database ADBC driver with C#

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("postgresql");

→ See a full example showing how to use the PostgreSQL ADBC driver with C#

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("presto");

→ See a full example showing how to use the Presto ADBC driver with C#

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("quack");

→ See a full example showing how to use the Quack ADBC driver with C#

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("redshift");

→ See a full example showing how to use the Amazon Redshift ADBC driver with C#

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("singlestore");

→ See a full example showing how to use the SingleStore ADBC driver with C#

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("snowflake");

→ See a full example showing how to use the Snowflake ADBC driver with C#

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("spark");

→ See a full example showing how to use the Apache Spark ADBC driver with C#

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("sqlite");

→ See a full example showing how to use the SQLite ADBC driver with C#

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
5. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("teradata");

→ See a full example showing how to use the Teradata ADBC driver with C#

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in C# on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Add the Apache.Arrow.Adbc NuGet package to your .NET project dotnet add package Apache.Arrow.Adbc
4. Use the driver in your C# code:

   using Apache.Arrow.Adbc.DriverManager;
   
   using var driver = AdbcDriverManager.FindLoadDriver("trino");

→ See a full example showing how to use the Trino ADBC driver with C#

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "bigquery", ... })

→ See a full example showing how to use the BigQuery ADBC driver with Go

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "cassandra", ... })

→ See a full example showing how to use the Apache Cassandra ADBC driver with Go

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "chdb", ... })

→ See a full example showing how to use the chDB ADBC driver with Go

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "clickhouse", ... })

→ See a full example showing how to use the ClickHouse ADBC driver with Go

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "databricks", ... })

→ See a full example showing how to use the Databricks ADBC driver with Go

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "datafusion", ... })

→ See a full example showing how to use the Apache DataFusion ADBC driver with Go

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "druid", ... })

→ See a full example showing how to use the Apache Druid ADBC driver with Go

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "duckdb", ... })

→ See a full example showing how to use the DuckDB ADBC driver with Go

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "exasol", ... })

→ See a full example showing how to use the Exasol ADBC driver with Go

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "flightsql", ... })

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with Go

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "mssql", ... })

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with Go

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "mysql", ... })

→ See a full example showing how to use the MySQL ADBC driver with Go

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
5. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "oracle", ... })

→ See a full example showing how to use the Oracle Database ADBC driver with Go

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "postgresql", ... })

→ See a full example showing how to use the PostgreSQL ADBC driver with Go

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "presto", ... })

→ See a full example showing how to use the Presto ADBC driver with Go

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "quack", ... })

→ See a full example showing how to use the Quack ADBC driver with Go

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "redshift", ... })

→ See a full example showing how to use the Amazon Redshift ADBC driver with Go

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "singlestore", ... })

→ See a full example showing how to use the SingleStore ADBC driver with Go

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "snowflake", ... })

→ See a full example showing how to use the Snowflake ADBC driver with Go

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "spark", ... })

→ See a full example showing how to use the Apache Spark ADBC driver with Go

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "sqlite", ... })

→ See a full example showing how to use the SQLite ADBC driver with Go

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
5. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "teradata", ... })

→ See a full example showing how to use the Teradata ADBC driver with Go

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in Go on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Add the ADBC drivermgr package to your Go module go get github.com/apache/arrow-adbc/go/adbc/drivermgr
4. Use the driver in your Go code:

   import . "github.com/apache/arrow-adbc/go/adbc/drivermgr"
   
   db, _ := Driver{}.NewDatabase(map[string]string{"driver": "trino", ... })

→ See a full example showing how to use the Trino ADBC driver with Go

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "bigquery");

→ See a full example showing how to use the BigQuery ADBC driver with Java

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "cassandra");

→ See a full example showing how to use the Apache Cassandra ADBC driver with Java

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "chdb");

→ See a full example showing how to use the chDB ADBC driver with Java

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "clickhouse");

→ See a full example showing how to use the ClickHouse ADBC driver with Java

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "databricks");

→ See a full example showing how to use the Databricks ADBC driver with Java

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "datafusion");

→ See a full example showing how to use the Apache DataFusion ADBC driver with Java

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "druid");

→ See a full example showing how to use the Apache Druid ADBC driver with Java

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "duckdb");

→ See a full example showing how to use the DuckDB ADBC driver with Java

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "exasol");

→ See a full example showing how to use the Exasol ADBC driver with Java

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "flightsql");

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with Java

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "mssql");

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with Java

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "mysql");

→ See a full example showing how to use the MySQL ADBC driver with Java

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
5. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "oracle");

→ See a full example showing how to use the Oracle Database ADBC driver with Java

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "postgresql");

→ See a full example showing how to use the PostgreSQL ADBC driver with Java

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "presto");

→ See a full example showing how to use the Presto ADBC driver with Java

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "quack");

→ See a full example showing how to use the Quack ADBC driver with Java

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "redshift");

→ See a full example showing how to use the Amazon Redshift ADBC driver with Java

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "singlestore");

→ See a full example showing how to use the SingleStore ADBC driver with Java

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "snowflake");

→ See a full example showing how to use the Snowflake ADBC driver with Java

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "spark");

→ See a full example showing how to use the Apache Spark ADBC driver with Java

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "sqlite");

→ See a full example showing how to use the SQLite ADBC driver with Java

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
5. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "teradata");

→ See a full example showing how to use the Teradata ADBC driver with Java

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in Java on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Java code:

   import org.apache.arrow.adbc.driver.jni.JniDriver;
   
   JniDriver.PARAM_DRIVER.set(params, "trino");

→ See a full example showing how to use the Trino ADBC driver with Java

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'bigquery', ... });

→ See a full example showing how to use the BigQuery ADBC driver with JavaScript

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'cassandra', ... });

→ See a full example showing how to use the Apache Cassandra ADBC driver with JavaScript

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'chdb', ... });

→ See a full example showing how to use the chDB ADBC driver with JavaScript

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'clickhouse', ... });

→ See a full example showing how to use the ClickHouse ADBC driver with JavaScript

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'databricks', ... });

→ See a full example showing how to use the Databricks ADBC driver with JavaScript

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'datafusion', ... });

→ See a full example showing how to use the Apache DataFusion ADBC driver with JavaScript

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'druid', ... });

→ See a full example showing how to use the Apache Druid ADBC driver with JavaScript

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'duckdb', ... });

→ See a full example showing how to use the DuckDB ADBC driver with JavaScript

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'exasol', ... });

→ See a full example showing how to use the Exasol ADBC driver with JavaScript

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'flightsql', ... });

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with JavaScript

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'mssql', ... });

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with JavaScript

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'mysql', ... });

→ See a full example showing how to use the MySQL ADBC driver with JavaScript

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
5. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'oracle', ... });

→ See a full example showing how to use the Oracle Database ADBC driver with JavaScript

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'postgresql', ... });

→ See a full example showing how to use the PostgreSQL ADBC driver with JavaScript

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'presto', ... });

→ See a full example showing how to use the Presto ADBC driver with JavaScript

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'quack', ... });

→ See a full example showing how to use the Quack ADBC driver with JavaScript

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'redshift', ... });

→ See a full example showing how to use the Amazon Redshift ADBC driver with JavaScript

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'singlestore', ... });

→ See a full example showing how to use the SingleStore ADBC driver with JavaScript

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'snowflake', ... });

→ See a full example showing how to use the Snowflake ADBC driver with JavaScript

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'spark', ... });

→ See a full example showing how to use the Apache Spark ADBC driver with JavaScript

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'sqlite', ... });

→ See a full example showing how to use the SQLite ADBC driver with JavaScript

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
5. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'teradata', ... });

→ See a full example showing how to use the Teradata ADBC driver with JavaScript

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in JavaScript on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Install the @apache-arrow/adbc-driver-manager and apache-arrow npm packages npm install @apache-arrow/adbc-driver-manager apache-arrow
4. Use the driver in your JavaScript code:

   import { AdbcDatabase } from '@apache-arrow/adbc-driver-manager';
   
   const db = new AdbcDatabase({driver: 'trino', ... });

→ See a full example showing how to use the Trino ADBC driver with JavaScript

→ Read the Trino ADBC driver documentation

To use ADBC with BigQuery in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the BigQuery driver: dbc install bigquery
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "bigquery")

→ See a full example showing how to use the BigQuery ADBC driver with Kotlin

→ Read the BigQuery ADBC driver documentation

To use ADBC with Apache Cassandra in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Cassandra driver: dbc install --pre cassandra
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "cassandra")

→ See a full example showing how to use the Apache Cassandra ADBC driver with Kotlin

→ Read the Apache Cassandra ADBC driver documentation

To use ADBC with chDB in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the chDB driver: dbc install chdb
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "chdb")

→ See a full example showing how to use the chDB ADBC driver with Kotlin

→ Read the chDB ADBC driver documentation

To use ADBC with ClickHouse in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the ClickHouse driver: dbc install clickhouse
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "clickhouse")

→ See a full example showing how to use the ClickHouse ADBC driver with Kotlin

→ Read the ClickHouse ADBC driver documentation

To use ADBC with Databricks in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Databricks driver: dbc install databricks
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "databricks")

→ See a full example showing how to use the Databricks ADBC driver with Kotlin

→ Read the Databricks ADBC driver documentation

To use ADBC with Apache DataFusion in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache DataFusion driver: dbc install datafusion
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "datafusion")

→ See a full example showing how to use the Apache DataFusion ADBC driver with Kotlin

→ Read the Apache DataFusion ADBC driver documentation

To use ADBC with Apache Druid in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Druid driver: dbc install --pre druid
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "druid")

→ See a full example showing how to use the Apache Druid ADBC driver with Kotlin

→ Read the Apache Druid ADBC driver documentation

To use ADBC with DuckDB in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the DuckDB driver: dbc install duckdb
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "duckdb")

→ See a full example showing how to use the DuckDB ADBC driver with Kotlin

→ Read the DuckDB ADBC driver documentation

To use ADBC with Exasol in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Exasol driver: dbc install exasol
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "exasol")

→ See a full example showing how to use the Exasol ADBC driver with Kotlin

→ Read the Exasol ADBC driver documentation

To use ADBC with Arrow Flight SQL in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Arrow Flight SQL driver: dbc install flightsql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "flightsql")

→ See a full example showing how to use the Arrow Flight SQL ADBC driver with Kotlin

→ Read the Arrow Flight SQL ADBC driver documentation

To use ADBC with Microsoft SQL Server in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Microsoft SQL Server driver: dbc install mssql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "mssql")

→ See a full example showing how to use the Microsoft SQL Server ADBC driver with Kotlin

→ Read the Microsoft SQL Server ADBC driver documentation

To use ADBC with MySQL in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the MySQL driver: dbc install mysql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "mysql")

→ See a full example showing how to use the MySQL ADBC driver with Kotlin

→ Read the MySQL ADBC driver documentation

To use ADBC with Oracle Database in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Oracle Database driver: dbc install oracle
4. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
5. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "oracle")

→ See a full example showing how to use the Oracle Database ADBC driver with Kotlin

→ Read the Oracle Database ADBC driver documentation

To use ADBC with PostgreSQL in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the PostgreSQL driver: dbc install postgresql
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "postgresql")

→ See a full example showing how to use the PostgreSQL ADBC driver with Kotlin

→ Read the PostgreSQL ADBC driver documentation

To use ADBC with Presto in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Presto driver: dbc install --pre presto
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "presto")

→ See a full example showing how to use the Presto ADBC driver with Kotlin

→ Read the Presto ADBC driver documentation

To use ADBC with Quack in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Quack driver: dbc install --pre quack
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "quack")

→ See a full example showing how to use the Quack ADBC driver with Kotlin

→ Read the Quack ADBC driver documentation

To use ADBC with Amazon Redshift in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Amazon Redshift driver: dbc install redshift
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "redshift")

→ See a full example showing how to use the Amazon Redshift ADBC driver with Kotlin

→ Read the Amazon Redshift ADBC driver documentation

To use ADBC with SingleStore in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SingleStore driver: dbc install --pre singlestore
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "singlestore")

→ See a full example showing how to use the SingleStore ADBC driver with Kotlin

→ Read the SingleStore ADBC driver documentation

To use ADBC with Snowflake in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Snowflake driver: dbc install snowflake
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "snowflake")

→ See a full example showing how to use the Snowflake ADBC driver with Kotlin

→ Read the Snowflake ADBC driver documentation

To use ADBC with Apache Spark in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Apache Spark driver: dbc install spark
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "spark")

→ See a full example showing how to use the Apache Spark ADBC driver with Kotlin

→ Read the Apache Spark ADBC driver documentation

To use ADBC with SQLite in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the SQLite driver: dbc install sqlite
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "sqlite")

→ See a full example showing how to use the SQLite ADBC driver with Kotlin

→ Read the SQLite ADBC driver documentation

To use ADBC with Teradata in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Authenticate with the private driver registry: dbc auth login
3. Install the Teradata driver: dbc install teradata
4. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
5. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "teradata")

→ See a full example showing how to use the Teradata ADBC driver with Kotlin

→ Read the Teradata ADBC driver documentation

To use ADBC with Trino in Kotlin on macOS:

1. Install dbc: curl -LsSf https://dbc.columnar.tech/install.sh | sh
2. Install the Trino driver: dbc install trino
3. Add adbc-core, adbc-driver-manager, and adbc-driver-jni as dependencies in your project
4. Use the driver in your Kotlin code:

   import org.apache.arrow.adbc.driver.jni.JniDriver
   
   JniDriver.PARAM_DRIVER.set(params, "trino")

→ See a full example showing how to use the Trino ADBC driver with Kotlin

→ Read the Trino ADBC driver documentation