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Databricks releases, every cloud

67 releases of 1321

Last updated

  1. Automatic change data feed is now generally available

    Requires Databricks Runtime 19 or above with row tracking enabled. Makes MERGE and UPDATE operations about 15% faster.

  2. Databricks Runtime 19: September 1, 2026

    Replaces manual change data feed enablement, requires row tracking enabled.

  3. Databricks Runtime maintenance updates (09/01)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  4. Databricks Runtime maintenance updates (08/04)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  5. Environment variables for serverless jobs are in Beta

    Requires workspace admin to enable from Previews page.

  6. Databricks Runtime maintenance updates (07/24)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning have transitioned to LTS

    Receives 3 years of stability and security fixes.

  9. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available

    Powered by Apache Spark 4.2.0.

  10. Databricks Runtime 19: July 23, 2026

    Enables Arrow-optimized Python UDFs by default, changing type-coercion behavior.

  11. Scala and Java UDFs in Unity Catalog are now generally available

    Reuses existing JVM logic, offers better performance than Python UDFs.

  12. Object metadata column is now in Public Preview

    Exposes object properties like MIME type and tags, available in Databricks Runtime 18.1.

  13. MySQL integrated CDC pipeline is now in Beta

    Replaces separate ingestion gateway, requires single pipeline update.

  14. Databricks Runtime maintenance updates (06/29)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  15. Parquet v2 for Delta Lake tables is generally available

    Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.

  16. Databricks Runtime 19 (Beta): June 26, 2026

    Restricts environment variables and Spark configurations in standard access mode. Removes previously allowed settings.

  17. AUTO CDC flows for streaming tables in Databricks SQL are generally available

    Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.

  18. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are in Beta

    Powered by Apache Spark 4.2.0.

  19. Databricks Runtime 19 (Beta): June 15, 2026

    Replaces JDK 17 with JDK 21, removes 90 Python packages.

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  21. Auto time-to-live for automatic row deletion is generally available

    Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column.

  22. Converting a partitioned table to liquid clustering is generally available

    Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.

  23. Databricks Runtime 18: June 10, 2026

    Adds Spark Declarative Pipelines and IP address functions, requires no changes to existing setups.

  24. Lakehouse Replay (Beta)

    Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.

  25. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

  26. Databricks Runtime 18: June 8, 2026

    Adds NEAREST BY SQL join type and DESCRIBE TABLE PARTITION for v2 catalog tables.

  27. Databricks Runtime 18: June 4, 2026

    NATURAL JOIN now matches columns case-insensitively by default. Set spark.sql.legacy.naturalJoinCaseSensitiveColumnMatching to true to restore previous behavior.

  28. Databricks Runtime 18: May 29, 2026

    Treats NaN values as duplicates, preserves Unity Catalog foreign table permissions during metadata refresh.

  29. Databricks Runtime maintenance updates (05/26)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  30. Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning are in Beta

    Powered by Apache Spark 4.1.0, replacing separate release notes for feature versions.

  31. Databricks Runtime 18: May 18, 2026

    Preserves table comments by default, auto-casts compatible column types in DataFrame writes.

  32. Databricks Runtime maintenance updates (05/13)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  33. Databricks Runtime 18: May 4, 2026

    Clusters using XPath no longer load external DTDs, and NULL structs are stored as NULL.

  34. Databricks Runtime 18.2 is now GA

    Replaces 7.3 and 7.3 ML.

  35. Databricks Runtime maintenance updates (04/29)

    Includes bug fixes, security patches, and performance improvements for LTS versions 13.3 to 16.4.

  36. Spark Declarative Pipelines on Lakeflow updates are retained for 60 days

    Retention period increased from 30 to 60 days, applying to UI and REST API updates.

  37. Databricks Runtime 18: April 20, 2026

    Replaces EPSG:102100 with ESRI:102100 for GEOMETRY type. Includes OS security updates.

  38. Databricks Runtime maintenance updates (04/20)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.1.

  39. Databricks Runtime 18.2 and Databricks Runtime 18.2 ML are in Beta

    Powered by Apache Spark 4.1.0.

  40. Databricks Runtime 18: April 2, 2026

    Adds VOID column support in UDTs and 30-second socket timeout for JDBC streaming sink connections.

  41. Databricks Runtime maintenance updates (04/02)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.1.

  42. Databricks Documentation site table of contents tabs

    Replaces static sidebar with tabbed navigation, includes 6 context tabs.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)

Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.