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Databricks releases, every cloud

177 releases of 1321

Last updated

  1. Databricks Runtime 18: April 2, 2026

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

  2. Databricks Runtime maintenance updates (04/02)

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

  3. Databricks Connector for Google Sheets updates

    Longer query execution timeout and UI improvements added.

  4. New SQL editor default enablement and legacy SQL editor retirement Coming soon

    New SQL editor becomes default in May, legacy editor retires in July.

  5. Databricks SQL version 2026.10 is now available in Preview

    Fixes observation metric errors, optimizes Unity Catalog writes, and uses session timezone for timestamp partitions.

  6. Databricks JDBC driver 2.8.0 is available

    Replaces Log4j with SLF4J 2.0.13, enables telemetry by default.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Search in metric views fix

    Now returns correct results across paginated results and supports filtering by display name.

  9. 5X-Large SQL warehouse size (Beta)

    Available in all supported regions, controlled from Previews page.

  10. Databricks Runtime 18: March 11, 2026

    Replaces previous behavior where observation metric errors caused query failures.

  11. Databricks Runtime 18.1 is now GA

    Replaces Databricks Runtime 7.3.

  12. Databricks Runtime 18: March 10, 2026

    Includes clearer error messages for scalar subqueries and operating system security updates.

  13. Databricks Runtime maintenance updates (03/10)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.0.

  14. Serverless compute now available for IRAP and Canada Protected B workloads on Azure Databricks

    Requires environment version 5 to be enabled.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  15. Connect to Azure Databricks from Microsoft Excel (Public Preview)

    Imports data from tables or Metric Views, executes SQL queries in Excel.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  16. Connect to Databricks from Microsoft Excel (Public Preview)

    Imports data from tables or Metric Views, executes SQL queries in Excel.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  17. Schedule data refreshes in Google Sheets (Public Preview)

    Refreshes occur hourly, daily, or weekly.

  18. Version 18.0

    Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.

  19. Databricks Runtime 18: February 26, 2026

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

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  21. Databricks Runtime maintenance updates (02/26)

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

  22. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  23. Databricks SQL version 2025.40 is rolling out in Current

    Replaces version 2025.39, requires no setup changes.

  24. Databricks Runtime 18: February 19, 2026

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

  25. Databricks Runtime maintenance updates (02/19)

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

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

    Powered by Apache Spark 4.1.0.

  27. Databricks SQL version 2025.40 is now available in Preview

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

  28. 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)
  29. Select tables and create pivot tables in Google Sheets

    Imports data via Databricks Connector, selecting from Catalog Explorer.

  30. 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)
  31. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

  32. Databricks Runtime 18: January 27, 2026

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

  33. Databricks Runtime maintenance updates (01/27)

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

  34. 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.

  35. Databricks Runtime 18: January 15, 2026

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

  36. Databricks Runtime 18.0 is now GA

    Replaces Databricks Runtime 7.3.

  37. Databricks Runtime maintenance updates (01/09)

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

  38. Login required to download ODBC driver

    Requires login and license acceptance, except for AWS GovCloud which needs account team access.

  39. 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)
  40. 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)
  41. 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.

  42. Databricks Runtime maintenance updates (12/09)

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

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.