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Databricks releases, every cloud

152 releases of 1321

Last updated

  1. Dashboard enhancements and bug fixes

    Converts SQL datasets to local metric views and adds parameter support to Genie Code.

  2. Dashboard enhancements

    Supports more Tableau calculations and relationship-scoped filters.

  3. Dashboard enhancements and bug fixes

    Embedded dashboards now have filter APIs, and ranked table calculations are imported from Power BI and Tableau.

  4. 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.

  5. Databricks Runtime 19: September 1, 2026

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

  6. Databricks Runtime maintenance updates (09/01)

    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. Dashboard enhancements and bug fixes

    Hides pages from published view, adds path map visualization and customizable table column header alignment.

  9. Dashboard enhancements and bug fixes

    Import from Power BI and Tableau is now generally available. Larger Excel downloads support up to 1 million rows.

  10. Dashboard enhancements and bug fixes

    Removes duplicate subscribers from dashboard schedules, fixes duplicate emails and import issues.

  11. Dashboard enhancements and bug fixes

    Supports rich text formatting in widget titles and descriptions. Adds run history for schedules.

  12. Databricks Runtime maintenance updates (08/04)

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

  13. Format AI/BI dashboard widget titles and descriptions with rich text

    Supports text styling, links, and tables via toolbar or markdown.

  14. Environment variables for serverless jobs are in Beta

    Requires workspace admin to enable from Previews page.

  15. Dashboard enhancements and bug fixes

    Genie Code now creates dashboard relationships from imported BI files and supports full undo and redo.

  16. Databricks Runtime maintenance updates (07/24)

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

  17. Dashboard enhancements and bug fixes

    Adds image widget, improves multi-select filters, and fixes cross-filtering and scrollbar bugs. Genie Code for dashboard authoring is now generally available.

  18. Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning have transitioned to LTS

    Receives 3 years of stability and security fixes.

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

    Powered by Apache Spark 4.2.0.

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  21. Databricks Runtime 19: July 23, 2026

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

  22. Dashboard enhancements and bug fixes

    Git folders are now generally available, and schedules can be run on demand.

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

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

  24. Dashboard enhancements and bug fixes

    Import BI files uses Genie Code, supports Power BI and Tableau reports.

  25. Object metadata column is now in Public Preview

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

  26. Dashboard enhancements and bug fixes

    Imports Power BI and Tableau reports as AI/BI dashboards. Adds STRING_AGG function for concatenating strings.

  27. Dashboard relationships (Public Preview)

    Builds complex multi-fact data models for AI/BI dashboards.

  28. MySQL integrated CDC pipeline is now in Beta

    Replaces separate ingestion gateway, requires single pipeline update.

  29. Databricks Runtime maintenance updates (06/29)

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

  30. 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.

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

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

  32. Dashboard enhancements and bug fixes

    Annotations can be driven by data or calculations, and 6 new preset themes are available.

  33. Dashboard enhancements

    Adds table header color customization and local metric view parameters.

  34. 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.

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

    Powered by Apache Spark 4.2.0.

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

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

  37. 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.

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

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

  39. Dashboard enhancements and bug fixes

    Gantt charts require matching start and end field types. Custom visualizations use Vega-Lite library.

  40. Databricks Runtime 18: June 10, 2026

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

  41. Lakehouse Replay (Beta)

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

  42. Databricks Runtime 18: June 8, 2026

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

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.