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Databricks releases, every cloud

79 releases of 1340

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

    Powered by Apache Spark 4.1.0.

  2. Databricks Runtime 18: April 2, 2026

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

  3. Databricks Runtime maintenance updates (04/02)

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

  4. 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)
  5. Databricks Runtime 18: March 11, 2026

    Replaces previous behavior where observation metric errors caused query failures.

  6. Databricks Runtime 18.1 is now GA

    Replaces Databricks Runtime 7.3.

  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: March 10, 2026

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

  9. Databricks Runtime maintenance updates (03/10)

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

  10. Version 18.0

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

  11. Databricks Runtime 18: February 26, 2026

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

  12. Databricks Runtime maintenance updates (02/26)

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

  13. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  14. 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)
  15. Databricks Runtime 18: February 19, 2026

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

  16. Databricks Runtime maintenance updates (02/19)

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

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

    Powered by Apache Spark 4.1.0.

  18. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

  19. Databricks Runtime 18: January 27, 2026

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

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  21. Databricks Runtime maintenance updates (01/27)

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

  22. 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.

  23. Databricks Runtime 18: January 15, 2026

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

  24. Databricks Runtime 18.0 is now GA

    Replaces Databricks Runtime 7.3.

  25. Databricks Runtime maintenance updates (01/09)

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

  26. 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.

  27. Databricks Runtime maintenance updates (12/09)

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

  28. Databricks Runtime maintenance updates (11/18)

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

  29. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

  30. Databricks Runtime maintenance updates (11/04)

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

  31. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

  32. Databricks Runtime 17.3 LTS is now GA

    Replaces 7.3 LTS, requires Databricks account.

  33. Databricks Runtime maintenance updates (10/21)

    Includes bug fixes, security patches, and performance improvements.

  34. 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.

  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. Databricks Runtime maintenance updates

    Includes bug fixes, security patches, and performance improvements.

  38. Databricks Runtime 17.2 is now is now GA

    Replaces 7.3 and earlier, requires new cluster creation.

  39. Databricks Runtime maintenance update

    Includes bug fixes, security patches, and performance improvements.

  40. 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.

  41. Databricks Runtime 17.1 is now is now GA

    Replaces Databricks Runtime 7.3.

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