ADBC Driver Foundry Blog

Updated ADBC driver for Apache Spark

2026-07-20T00:00:00+00:00

July 20, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released an updated driver for Apache Spark, version 0.1.0, available immediately via dbc. To update, just dbc install spark to get the latest version — no --pre flag needed, as this is the driver’s first release out of alpha/beta.

Version 0.1.0 implements GetTableSchema and adds an option to set the catalog on initial connect, along with other bug fixes.

For more details, see the full changelog. To learn more about how to use the driver, check out the documentation and quickstarts.

Bug reports and feature requests are welcome through GitHub Issues in the adbc-drivers/spark repository. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC drivers for Apache Spark, BigQuery, Databricks, DuckDB Quack, MySQL, and Oracle Database

2026-07-16T00:00:00+00:00

July 16, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released updates to drivers for Apache Spark, BigQuery, Databricks, DuckDB Quack, MySQL, and Oracle Database. All are available now via dbc.

Updated Drivers

Apache Spark driver version 0.1.0-alpha.3

Improved compatibility for both Spark Connect and Apache Livy on Amazon EMR
Added the spark.ingest.location option to specify the LOCATION clause in CREATE TABLE in bulk ingest
Properly release Spark Connect sessions on disconnect
Accept auth_type=none for Apache Livy and Spark Connect connections without authentication

BigQuery driver version 1.12.1

Bumped Go version to address security vulnerabilities

Databricks driver version 0.1.3

Bumped Go version to address security vulnerabilities

DuckDB Quack driver version 0.1.0-alpha.2

Bumped DuckDB from 1.5.3 to 1.5.4

MySQL driver version 0.5.0

Added an option to control how dates and datetimes with zero components (e.g. 0000-00-00) are handled: either raise an error (the default) or treat the value as NULL

Oracle Database driver version 0.6.1

Bumped Go version and dependencies to address security vulnerabilities

To learn more about any of these drivers, check out the documentation and quickstarts.

Bug reports and feature requests are welcome at the repositories linked above. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC drivers for Amazon Redshift, Apache DataFusion, and Microsoft SQL Server

2026-07-07T00:00:00+00:00

July 07, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released updated drivers for Amazon Redshift, Apache DataFusion, and Microsoft SQL Server, available immediately via dbc. To update, just dbc install [redshift|datafusion|mssql] to get the latest version.

Updated Drivers

Amazon Redshift driver version 1.4.0

Correctly query decimal values whose decimal representation ended in multiple zeroes

Apache DataFusion driver version 0.26.0

Implement ExecutePartitions and ReadPartition

Microsoft SQL Server driver version 1.5.0

Add support for Microsoft Fabric Data Warehouse, including ingest support, OneLake support, INSERT BULK, and compatibility improvements
Add support for querying, binding, and ingesting SQL_VARIANT
Breaking change: geoarrow.wkb ingest now uses GEOGRAPHY only when an SRID and "edges":"spherical" are defined; see mssql.ingest.geo_type
Fix typos in INSERT BULK support

To learn more about how to use the drivers, check out the documentation and quickstarts.

Bug reports and feature requests are welcome at the repositories linked above. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC driver for Trino

2026-07-06T00:00:00+00:00

July 06, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released an updated driver for Trino, version 0.5.0, available immediately via dbc. To update, just dbc install trino to get the latest version.

Version 0.5.0 adds support for ARRAY columns and improves connectivity by adding support for TLS connections and validation over TLS.

For more details, see the full changelog. To learn more about how to use the driver, check out the documentation and quickstarts.

Bug reports and feature requests are welcome through GitHub Issues in the adbc-drivers/trino repository. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC driver for Exasol

2026-07-06T00:00:00+00:00

July 06, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released an updated driver for Exasol, version 0.13.0, available immediately via dbc. To update, just dbc install exasol to get the latest version.

For details, see the full changelog. To learn more about how to use the driver, check out the documentation and quickstarts.

Bug reports and feature requests are welcome through GitHub Issues in the exarrow-rs repository. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC drivers for BigQuery and Oracle Database

2026-06-22T00:00:00+00:00

June 22, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released updated drivers for BigQuery and Oracle Database, available immediately via dbc. To update, just dbc install [bigquery|oracle] to get the latest version[1].

Updated Drivers

BigQuery driver version 1.12.0

Make option names more consistent (allow bigquery.foo in addition to adbc.bigquery.sql.foo)
Add query statistics to the schema metadata of the result
Implement GetStatistics
Add the SRID to returned GeoArrow metadata
Allow binding Arrow time[ns] values by truncating
Auto-detect the credential type from JSON credentials
Improve error handling around authentication
Handle dry-run queries properly instead of erroring

Oracle Database driver version 0.6.0

Note

The default execution mode will become batch in the next minor version (v0.7.0) and the row option will be removed the following minor version (v0.8.0).

Support querying/bulk ingesting interval types
Support retrieving the value of OUT bind parameters as columns of the result set
Add an option to control the Arrow type of NUMBER types without a precision/scale
Support querying and ingesting SDO_GEOMETRY columns as GeoArrow extension types
Retrieve the result of DBMS_SQL.RETURN_RESULT
Allow setting various options on initial connection

To learn more about how to use the drivers, check out the documentation and quickstarts.

Bug reports and feature requests are welcome at the repositories linked above. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC drivers for Exasol, MySQL, and Snowflake

2026-06-18T00:00:00+00:00

June 18, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released updated drivers for Exasol, MySQL, and Snowflake, available immediately via dbc. To update, just dbc install [exasol|mysql|snowflake] to get the latest version.

Updated Drivers

Exasol driver version 0.12.7

Fix empty result sets not carrying the expected schema

MySQL driver version 0.4.0

Support querying unsigned types
Fix connection exhaustion when rapidly creating and closing connections
Guard against errors when bulk_ingest is used with zero or >65536 columns

Snowflake driver version 1.11.0

Convert between GeoArrow types and GEOMETRY/GEOGRAPHY for both querying and ingest
Support more Arrow types in bulk ingest as well as specifying the target catalog/schema and compression codec for Parquet files
Implement GetStatistics
Support queries that invoke stored procedures via CALL
Improve GetObjects performance
Various bug fixes

To learn more about how to use the drivers, check out the documentation and quickstarts.

Bug reports and feature requests are welcome at the repositories linked above. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC drivers for Apache DataFusion, Exasol, and Trino

2026-06-08T00:00:00+00:00

June 08, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released updated drivers for Apache DataFusion, Exasol, and Trino, available immediately via dbc. To update, just dbc install [datafusion|exasol|trino] to get the latest version.

Updated Drivers

Apache DataFusion driver version 0.25.0

Enable direct querying of HTTP/S3/etc. URIs and local files and directories in the same way that datafusion-cli does. Example:

SELECT `Breed Name`, `Lifespan`
  FROM 'https://hyperparam-public.s3.amazonaws.com/bunnies.parquet'
  ORDER BY `Lifespan` DESC
  LIMIT 5;

Exasol driver version 0.12.6

Update dependencies with security advisories
Various bug fixes

Trino driver version 0.4.0

Add trino.statement.last_query_id option to retrieve the query ID
Support GetStatistics and a target catalog/schema for bulk ingest

To learn more about how to use the drivers, check out the documentation and quickstarts.

Bug reports and feature requests are welcome at the repositories linked above. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Preview of a new ADBC driver for Apache Spark

2026-06-03T00:00:00+00:00

June 03, 2026 ADBC Drivers Contributors

A beta release of a new ADBC driver for Apache Spark is now available via dbc. Run dbc install spark --pre to try it out today.

The driver supports query execution, bulk ingestion, and catalog metadata retrieval. It can connect via the HiveServer2 Thrift protocol (either over TCP, or HTTP/HTTPS), Spark Connect, or Apache Livy. Documentation can be found at adbc-drivers.org. This is a preview release, and more features are actively being developed, so stay tuned.

The driver was developed by the ADBC Driver Foundry and is implemented in Go.

To get started, provide a connection URI with a spark:// scheme:

spark://host:port/?api=connect&auth=token

The driver can then be used like any other driver. For example, load it in Python with adbc-driver-manager:

from adbc_driver_manager import dbapi

with (
    dbapi.connect("spark://localhost:15002?auth_type=none&api=connect") as con,
    con.cursor() as cursor,
):
    cursor.execute("SELECT * FROM mytable")
    table = cursor.fetch_arrow_table()

Bug reports and feature requests are welcome through GitHub Issues in the spark repository in the ADBC Driver Foundry. You can also start a Discussion on GitHub or join the Columnar Community Slack.

New ADBC driver for Apache DataFusion

2026-05-27T00:00:00+00:00

May 27, 2026 ADBC Drivers Contributors

A new ADBC driver for Apache DataFusion is now available via dbc. Run dbc install datafusion to try it out today.

The driver supports query execution, bulk ingestion (create, append, and replace modes), catalog metadata retrieval, and prepared statements. Documentation can be found at adbc-drivers.org. The driver was developed in Rust by the ADBC Driver Foundry based on the driver originally available from apache/arrow-adbc, but has been extended with new features and bug fixes.

As DataFusion is embedded, you can use the driver without any need for a connection string. For example, load it in Python with adbc-driver-manager:

from adbc_driver_manager import dbapi

with (
    dbapi.connect("datafusion") as con,
    con.cursor() as cursor,
):
    cursor.execute("SELECT 42")
    table = cursor.fetch_arrow_table()

Bug reports and feature requests are welcome through GitHub Issues in the datafusion repository in the ADBC Driver Foundry. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC driver for Redshift

2026-05-25T00:00:00+00:00

May 25, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released an updated driver for Amazon Redshift, version 1.3.0, available immediately via dbc. To update, just dbc install redshift to get the latest version.

Version 1.3.0 has several improvements and bug fixes, including:

Support for ingesting GeoArrow data as GEOMETRY/GEOGRAPHY columns
Inferring/preserving SRID in querying/ingesting geo data
Fix GetTableSchema only being callable once per connection
Pass through credentials when executing COPY in bulk ingest
Map Arrow strings to VARCHAR(MAX) in bulk ingest instead of TEXT

For more details, see the full changelog. To learn more about how to use the driver, check out the documentation and quickstarts.

Bug reports and feature requests are welcome through GitHub Issues in the adbc-drivers/redshift repository. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC drivers for ClickHouse and SQL Server

2026-05-22T00:00:00+00:00

May 22, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released updated drivers for ClickHouse and Microsoft SQL Server, available immediately via dbc. To update, just dbc install mssql or dbc install clickhouse --pre to get the latest version.

Updated Drivers

The new drivers are patch releases to fix reported bugs.

ClickHouse driver version 0.1.0-alpha.2

Enable TLS support at build time.

Microsoft SQL Server driver version 1.4.1

Restore support for querying IMAGE, SMALLDATETIME, UNIQUEIDENTIFIER, and XML columns

To learn more about how to use the drivers, check out the documentation and quickstarts.

Bug reports and feature requests are welcome at the repositories linked above. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Preview of a new ADBC driver for DuckDB Quack

2026-05-21T00:00:00+00:00

May 21, 2026 ADBC Drivers Contributors

A beta release of a new ADBC driver for DuckDB’s Quack protocol is now available via dbc. Run dbc install quack --pre to try it out today.

The driver supports query execution, bulk ingestion (create, append, and replace modes), catalog metadata retrieval, prepared statements, and transactions. Documentation can be found at adbc-drivers.org. This is a preview release, and more features are actively being developed, so stay tuned.

The driver was developed by the ADBC Driver Foundry, is implemented in C++, and wraps DuckDB itself underneath for full compatibility. See our blog post for more details on how we built the driver.

To get started, provide a connection URI with a quack:// scheme:

quack://host:port/?token=my-secret

The driver can then be used like any other driver. For example, load it in Python with adbc-driver-manager:

from adbc_driver_manager import dbapi

with (
    dbapi.connect("quack://localhost:9494/?token=quack-secret") as con,
    con.cursor() as cursor,
):
    cursor.execute("FROM range(0, 100, 2)")
    table = cursor.fetch_arrow_table()

Bug reports and feature requests are welcome through GitHub Issues in the quack repository in the ADBC Driver Foundry. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC driver for SQL Server

2026-05-19T00:00:00+00:00

May 19, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released an updated driver for Microsoft SQL Server, version 1.4.0, available immediately via dbc. To update, just dbc install mssql to get the latest version.

Version 1.4.0 has several improvements and bug fixes, including:

Ingest and query for GEOMETRY/GEOGRAPHY types using GeoArrow extension types
Control over which Arrow type is used for large string types like NVARCHAR(MAX)
Fixed support for Kerberos authentication

For more details, see the full changelog. To learn more about how to use the driver, check out the documentation and quickstarts.

Bug reports and feature requests are welcome through GitHub Issues in the adbc-drivers/mssql repository. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC driver for Exasol

2026-05-03T00:00:00+00:00

May 03, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released an updated driver for Exasol, version 0.12.0, available immediately via dbc. To update, just dbc install exasol to get the latest version.

This release rolls up the 0.10.x and 0.11.x versions, with a variety of improvements, including defaulting to the TCP protocol instead of WebSockets for better performance. For more details, see the full changelog. To learn more about how to use the driver, check out the documentation and quickstarts.

This driver is developed by the Exasol Labs 🧪 community initiative. Bug reports and feature requests are welcome through GitHub Issues in the exarrow-rs repository under Exasol Labs. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC driver for Exasol

2026-04-19T00:00:00+00:00

April 19, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released an updated driver for Exasol, version 0.9.0, available immediately via dbc. To update, just dbc install exasol to get the latest version.

This release rolls up the 0.7.x and 0.8.x versions, and primarily improves support for certain connection configurations and updates dependencies with security advisories. For more details, see the full changelog. To learn more about how to use the driver, check out the documentation and quickstarts.

Preview of a new ADBC driver for SingleStore

2026-04-03T00:00:00+00:00

April 03, 2026 ADBC Drivers Contributors

A beta release of a new ADBC driver for SingleStore is now available via dbc. If you have dbc 0.2.0 or newer installed, run dbc install singlestore --pre to try it out today.

The driver supports query execution, bulk ingestion (create, append, and replace modes), catalog metadata retrieval, prepared statements, and transactions. Documentation can be found at adbc-drivers.org. This is a beta release, and more features are actively being developed, so stay tuned.

The driver was developed by SingleStore, is implemented in Go, and uses the MySQL wire protocol to connect. To get started, provide a connection URI using the Go MySQL Driver DSN format with a singlestore:// scheme:

singlestore://user:password@tcp(host:3306)/database

Bulk ingestion uses LOAD DATA LOCAL INFILE under the hood. The driver includes comprehensive type mappings between SingleStore and Arrow types, covering integers, floating-point numbers, decimals, temporal types (DATE, DATETIME, TIME, TIMESTAMP), strings, binary data, and JSON.

The ADBC Quickstarts have runnable examples demonstrating the SingleStore driver in C++, Go, Java, Python, R, and Rust.

Please submit bug reports and feature requests directly to the singlestore-adbc-connector repository. You can also start a Discussion on GitHub or join the Columnar Community Slack.

New ADBC driver for Exasol

2026-03-18T00:00:00+00:00

March 18, 2026 ADBC Drivers Contributors

The ADBC driver for Exasol, version 0.7.0, is now available via dbc. Just dbc install exasol to get the latest version.

The driver supports query execution and inspecting the catalog (GetObjects, GetTableSchema, etc.); features like bulk ingestion and bind parameters are in the works. Documentation can be found at adbc-drivers.org. The Exasol Labs community is still working on adding more features and tuning performance, so check back for updates.

Updated ADBC drivers for BigQuery, MySQL, Oracle Database, Redshift, SQL Server, Snowflake, and Trino

2026-03-11T00:00:00+00:00

March 11, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released updated drivers for six database systems, available immediately via dbc. To update, just dbc install <driver> to get the latest version.

Updated Drivers

The newly released drivers, and some release highlights, are:

Google BigQuery driver version 1.11.2
Snowflake driver version 1.10.3
Trino driver version 0.3.1

Update transitive dependencies to pick up security updates. (This is the only change for the three drivers listed above. The drivers listed below also include dependency updates, in addition to other changes detailed separately.)

Microsoft SQL Server driver version 1.3.1

Test against SQL Server 2025.
Use NVARCHAR(MAX) for bulk ingest, not NTEXT (which is deprecated).
Fix a bug where reusing a statement to execute a query after a bulk ingest would give an empty result set.

MySQL driver version 0.3.1

Enable bulk ingest into a temporary table.
Fix a bug with bulk ingest and wide schemas.

Oracle Database driver version 0.5.1

Note

This driver is available from Columnar’s private driver registry. See this blog post to learn more.

Support REAL and DOUBLE PRECISION types when the latest Instant Client is used.
Don’t use the DBA_PDBS view in GetObjects, which requires more permissions.

Amazon Redshift driver version 1.2.1

Optimize bulk ingest.

To learn more about how to use the drivers, check out the documentation and quickstarts.

Bug reports and feature requests are welcome at the repositories linked above. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Faster ADBC drivers for BigQuery, MySQL, SQL Server, and Trino

2026-02-19T00:00:00+00:00

February 19, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released updated drivers for four database systems, available immediately via dbc. To update, just dbc install <driver> to get the latest version.

Updated Drivers

The main highlight for all drivers is improved performance. Each newly released driver is now significantly faster than its previous release and is typically faster than or on par with its reference non-ADBC driver, with some variation depending on workload and data types such as strings.

Google BigQuery driver version 1.11.0

Improved query performance by identifying and patching an issue in the Google BigQuery SDK for Go. #102
Added experimental support for bulk ingest via the Storage Write API, instead of by uploading Parquet files. This is still a work in progress and is not recommended for production use. #105

MySQL driver version 0.3.0

Improved bulk ingest performance. #66

Microsoft SQL Server driver version 1.3.0

Improved query performance by identifying and submitting fixes for microsoft/go-mssqldb.

Trino driver version 0.3.0

Improved bulk ingest performance. #58

Benchmarks

Query benchmarks measure the time to retrieve a PyArrow Table, while ingest benchmarks measure the time to write a PyArrow Table. The benchmark harness in all cases uses Python.

Querying Data

Database	Data Size	ADBC Before (s)	ADBC After (s)	Competitor (s)	Relative Time[1]
BigQuery	6 million rows	95.2 ± 2.34	31.0 ± 2.1	56.4 ± 1.3[2]	0.55x
SQL Server	1.2 million rows	9.6 ± 0.1	3.3 ± 0.0	3.0 ± 0.2[3]	1.1x

Ingesting Data

Database	Data Size	ADBC Before (s)	ADBC After (s)	Competitor (s)	Relative Time[1]
MySQL	600k rows	467.8 ± 17.9	6.7 ± 0.3	13.1 ± 0.7[4]	0.51x
Trino	60k rows	1962.8 ± 182.2	52.2 ± 8.2	2061.8 ± 15.1[5]	0.03x

Preview of a new ADBC driver for ClickHouse

2026-02-17T00:00:00+00:00

February 17, 2026 ADBC Drivers Contributors

The ADBC Drivers Contributors are excited to announce a preview version of a new driver for ClickHouse. The driver is available immediately via dbc. If you have dbc 0.2.0 or newer installed, run dbc install clickhouse --pre to try it out today.

The driver supports querying data and can insert Arrow data using an appropriately formatted INSERT query. Full ADBC bulk ingestion support is not yet available. Documentation can be found at adbc-drivers.org. This is a preview release, and more features are actively being developed, so stay tuned.

The driver was developed by ClickHouse and uses the HTTP transport with native Apache Arrow support. To connect, simply provide the http or https URL of your ClickHouse server as the uri option. See the HTTP interface documentation for more details.

To get started, check out the ADBC Quickstarts repository for runnable examples demonstrating the ClickHouse driver in C++, Go, Java, Python, R, and Rust.

Please submit bug reports and feature requests directly to the adbc_clickhouse repository. You can also start a Discussion on GitHub or connect with us on the Columnar Community Slack.

New ADBC driver for Databricks

2026-01-28T00:00:00+00:00

January 28, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released a new driver for Databricks version 0.1.2, available immediately via dbc. Just dbc install databricks to get the latest version.

The driver supports querying data, bulk ingestion, and querying the catalog (listing tables and columns and so on). Documentation can be found at adbc-drivers.org. As the version number implies, this is an early version of the driver. We are still working with Databricks on adding more features and improving performance, so stay tuned.

This driver uses Databricks’s Thrift transport with Cloud Fetch and Apache Arrow data transfer enabled. It can connect to serverless compute, provisioned (“classic”) compute, and SQL warehouses, by setting the server hostname, port, and HTTP path appropriately. See the documentation for the official Go SDK for details on how to get these values.

Bug reports and feature requests are welcome through GitHub Issues in the databricks repository in the ADBC Driver Foundry. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC drivers for SQL Server and Snowflake

2026-01-12T00:00:00+00:00

January 12, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released updated drivers for two database systems, available immediately via dbc. To update, just dbc install <driver> to get the latest version.

Updated Drivers

The newly released drivers, and some release highlights, are:

Microsoft SQL Server driver version 1.2.0

Add support for Entra ID authentication. To use it, install the Azure CLI, log in via az login, and add fedauth= to your connection URI, like so:

sqlserver://my-database-endpoint.database.windows.net:1433?database=my-database-name&fedauth=ActiveDirectoryDefault

See the documentation for more information.

Snowflake driver version 1.10.1

Fix occasional deadlocks when reading data (bug report)

Bug reports and feature requests are welcome at the repositories linked above. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Updated ADBC drivers for BigQuery, SQL Server, MySQL, Redshift, Snowflake, and Trino

2026-01-07T00:00:00+00:00

January 07, 2026 ADBC Drivers Contributors

Today the ADBC Drivers Contributors released updated drivers for six database systems, available immediately via dbc. To update, just dbc install <driver> to get the latest version.

Updated Drivers

The newly released drivers, and some release highlights, are:

Google BigQuery driver version 1.10.0

Support for bulk ingest of Arrow’s list and struct types
General bug fixes, including fixing hangs in certain cases

Microsoft SQL Server driver version 1.1.0

Improved support for DATETIME2, CHAR/NCHAR
Support for binding/ingesting Arrow’s large/view/fixed-size string and binary types

MySQL driver version 0.2.0

Force the connection timezone to UTC for consistent handling
Support the BIT type

Amazon Redshift driver version 1.1.0

Experimental support for IdP token authentication and more options for IdP browser authentication
Support for binding/ingesting Arow’s list/struct types (they become SUPER in Redshift)
Improved support for GEOMETRY, GEOGRAPHY, HLLSKETCH, and SUPER

Snowflake driver version 1.10.0

Improved handling of TIMESTAMP_TZ

Trino driver version 0.2.0

Fixed timeouts during long-running queries
Improved support for binary types

Additionally, all drivers now support connecting with URIs in addition to their native connection string formats. To learn more about how to use the drivers, check out the documentation and quickstarts.

Bug reports and feature requests are welcome at the repositories linked above. You can also start a Discussion on GitHub or join the Columnar Community Slack.

Announcing the ADBC Driver Foundry

2025-10-29T00:00:00+00:00

October 29, 2025 ADBC Drivers Contributors

ADBC (Arrow Database Connectivity) is at an inflection point. Launched in 2022 as a subproject of Apache Arrow, ADBC is a modern data connectivity standard built to accelerate and simplify data access for analytics applications. Leading companies including Databricks, dbt Labs, Microsoft, and Snowflake are building with ADBC.

Today, the project is a bustling construction site. The foundations—ADBC’s core specifications and libraries—have solidified. The focus has shifted to building the superstructure: the drivers that connect ADBC to a wide array of databases, query engines, and data platforms. But as driver development has scaled up, there has been little scaffolding to support contributors. Driver work has funneled through the same central repository that houses ADBC’s core components, straining the small group of Apache Arrow maintainers who can review and merge contributions. The result has been slow reviews, mounting frustration, and a mismatch between the centralized privilege model of Apache projects and the inherently federated nature of driver development.

To give current and future driver developers the scaffolding they need, today we’re launching the ADBC Driver Foundry, an open source hub for federated driver development hosted at github.com/adbc-drivers. This effort brings together contributors from Columnar, Databricks, dbt Labs, Improving, Microsoft, Snowflake, and the broader Apache Arrow developer community. The Foundry strikes a balance between autonomy and shared support, providing a scalable structure that empowers contributors while ensuring consistency across the ecosystem.

For driver developers, the Foundry offers per-project repositories with independently managed commit privileges, along with templates and guides for building new drivers. It also provides shared resources for testing, validation, benchmarking, packaging, distribution, and documentation.

For driver users and downstream developers, nothing changes immediately. In the coming months, as drivers begin to be distributed from the Foundry, we’ll update some package names and class names. Stay tuned for more details in future posts.

With strong foundations—and now strong scaffolding—ADBC is ready for its next stage of growth. To learn more or get involved, visit us at github.com/adbc-drivers or email us at hello@adbc-drivers.org.