Skip to content

Databricks releases, every cloud

154 releases of 1331

Last updated

  1. Databricks Runtime 18: February 26, 2026

    Adds SET and UNSET METADATA ON COLUMN SQL commands for Unity Catalog table columns. Includes OS security updates.

  2. Databricks Runtime maintenance updates (02/26)

    Includes bug fixes, security patches, and performance improvements for versions 12.2 to 18.0.

  3. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  4. Change to use_case field in VPC endpoint API responses Coming soon

    Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  5. Databricks SQL version 2025.40 is rolling out in Current

    Replaces version 2025.39, requires no setup changes.

  6. Databricks Runtime 18: February 19, 2026

    Inferencing Excel string cells now respects cell type, updating from auto-casting to narrower types.

  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 maintenance updates (02/19)

    Includes bug fixes, security patches, and performance improvements for versions 12.2 to 18.0.

  9. Databricks Runtime 18.1 and Databricks Runtime 18.1 ML are in Beta

    Powered by Apache Spark 4.1.0.

  10. Databricks SQL version 2025.40 is now available in Preview

    Adds SQL scripting with procedural logic and expands parameter markers and IDENTIFIER clause support.

  11. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

  12. Databricks Runtime 18: January 27, 2026

    Reports batchSize and file processing metrics, renames spark.sql.xml.legacyXMLParser.enabled config property.

  13. Databricks Runtime maintenance updates (01/27)

    Includes bug fixes, security patches, and performance improvements for versions 12.2 to 18.0.

  14. You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs

    Defined with YAML files, they support Python, Python wheel, and notebook tasks.

  15. Databricks Runtime 18: January 15, 2026

    Uses JDK 21, replacing JDK 17, with changes to Double and Float string representations.

  16. Databricks Runtime 18.0 is now GA

    Replaces Databricks Runtime 7.3.

  17. Databricks Runtime maintenance updates (01/09)

    Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.

  18. Databricks Runtime 18.0 and Databricks Runtime 18.0 ML are in Beta

    Powered by Apache Spark 4.1.0, includes JDK 21 as default.

  19. Databricks Runtime maintenance updates (12/09)

    Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Databricks SQL version 2025.35 is rolling out in Current

    Includes new features, see documentation for details.

  22. Databricks Runtime maintenance updates (11/18)

    Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.

  23. Databricks SQL alerts are now in Public Preview

    Offers a new editing experience, replacing the previous version.

  24. Convert foreign tables to Unity Catalog managed or external tables (Public Preview)

    Requires Databricks Runtime 17.0 LTS or above. Uses ALTER TABLE SET MANAGED or SET EXTERNAL.

  25. SQL Editor visualization fix

    Tooltips now display in front of the legend.

  26. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

  27. Databricks Runtime maintenance updates (11/04)

    Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.

  28. Databricks SQL version 2025.35 is now available in Preview

    Adds EXECUTE IMMEDIATE constant expressions and LIMIT ALL for recursive CTEs.

  29. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

  30. Databricks Runtime 17.3 LTS is now GA

    Replaces 7.3 LTS, requires Databricks account.

  31. Databricks Runtime maintenance updates (10/21)

    Includes bug fixes, security patches, and performance improvements.

  32. New alert editing experience

    Replaces old editor with a multi-tab editor for unified workflow.

  33. The billable usage table now records the performance mode of serverless jobs and pipelines

    Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null.

  34. Visualizations fix

    Fixes legend selection for charts with aliased series names in SQL editor and notebooks.

  35. Databricks Runtime maintenance updates (10/07)

    Includes bug fixes, security patches, and performance improvements.

  36. Databricks Runtime 17.3 LTS and Databricks Runtime 17.3 LTS ML are in Beta

    Powered by Apache Spark 4.0.0, includes new configuration options.

  37. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

  38. Databricks SQL version 2025.30 is now available in Preview

    Adds LIKE operator support for UTF8 collations and ST_ExteriorRing function.

  39. Databricks Runtime maintenance updates

    Includes bug fixes, security patches, and performance improvements.

  40. Databricks Runtime 17.2 is now is now GA

    Replaces 7.3 and earlier, requires new cluster creation.

  41. Databricks Runtime maintenance update

    Includes bug fixes, security patches, and performance improvements.

  42. Admins can now manage a workspace's serverless base environments (Public Preview)

    Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.

Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.

We measure how the site is used. PostHog and Google Analytics, set to measurement only with advertising features off. We do not sell your data or share it for advertising, and you can turn this off. What this stores.