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Databricks releases, every cloud

159 releases of 1321

Last updated

  1. Databricks Runtime maintenance updates (02/26)

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

  2. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  3. Databricks SQL version 2025.40 is rolling out in Current

    Replaces version 2025.39, requires no setup changes.

  4. Databricks Runtime 18: February 19, 2026

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

  5. Databricks Runtime maintenance updates (02/19)

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

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

    Powered by Apache Spark 4.1.0.

  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 SQL version 2025.40 is now available in Preview

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

  9. Serverless compute now available for compliance standards

    Adds HITRUST, PCI-DSS, TISAX, and UK Cyber Essentials Plus support.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  10. New GCP regions support serverless compute

    Available in me-central1 and southamerica-east1 regions.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  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. Serverless compute is now available in Azure China North 3

    Available for notebooks, jobs, pipelines, and SQL warehouses.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  19. Serverless workspaces are now available in new GCP regions

    Available in most GCP regions, see documentation for list.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
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  21. 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.

  22. Databricks Runtime maintenance updates (12/09)

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

  23. Serverless compute is now available in new regions

    Added to Australia Southeast, Canada Central, Mexico Central, Norway East, and South Africa North regions.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  24. Databricks SQL version 2025.35 is rolling out in Current

    Includes new features, see documentation for details.

  25. Databricks Runtime maintenance updates (11/18)

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

  26. Databricks SQL alerts are now in Public Preview

    Offers a new editing experience, replacing the previous version.

  27. 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.

  28. List MCP servers in Azure Databricks Marketplace (Public Preview)

    Allows distribution of AI tools and connection to external data sources, requires provider listing.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  29. List MCP servers in Databricks Marketplace (Public Preview)

    Lets users install MCP servers to connect AI agents to external data sources.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  30. SQL Editor visualization fix

    Tooltips now display in front of the legend.

  31. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

  32. Databricks Runtime maintenance updates (11/04)

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

  33. Databricks SQL version 2025.35 is now available in Preview

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

  34. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

  35. Databricks Runtime 17.3 LTS is now GA

    Replaces 7.3 LTS, requires Databricks account.

  36. Databricks Runtime maintenance updates (10/21)

    Includes bug fixes, security patches, and performance improvements.

  37. New alert editing experience

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

  38. 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.

  39. Visualizations fix

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

  40. Databricks Runtime maintenance updates (10/07)

    Includes bug fixes, security patches, and performance improvements.

  41. 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.

  42. Semantic metadata in metric views

    Requires YAML 1.1 and Databricks Runtime 17.3 or higher.

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