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Databricks releases, every cloud

68 releases of 1321

Last updated

  1. 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.

  2. Databricks Runtime 19: September 1, 2026

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

  3. Databricks Runtime maintenance updates (09/01)

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

  4. Inbound Private Service Connect for performance-intensive services (Beta)

    Enables private connectivity to services like Zerobus Ingest and Lakebase Autoscaling on Google Cloud.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  5. Cross-workspace access for serverless (Beta)

    Controls serverless network traffic between workspaces with ingress and egress rules.

  6. Serverless outbound Private Service Connect to customer-managed resources (Public Preview)

    Keeps traffic off the public internet, adding network-layer defense against data exfiltration through customer-managed Google Cloud service attachment.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  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 (08/04)

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

  9. Organize your work with spaces

    Preserves open tabs for specific folders or projects.

  10. Create a least-privilege Databricks workspace

    Grants Databricks a narrow set of custom IAM roles instead of broad permissions on Google Cloud.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  11. Databricks Runtime maintenance updates (07/24)

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

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

    Receives 3 years of stability and security fixes.

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

    Powered by Apache Spark 4.2.0.

  14. Databricks Runtime 19: July 23, 2026

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

  15. Context-based ingress control for workspaces public access is now generally available

    Uses allow and deny rules to control access based on identities, network sources, and request types.

  16. Allowlist partner platform IPs in context-based ingress control (Beta)

    Supports Power BI, Tableau Cloud, and dbt platform, with automatic IP list updates.

  17. Databricks Runtime maintenance updates (06/29)

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

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

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

  19. Block specific internet destinations in network policies (Public Preview)

    Blocks destinations regardless of network access mode, enforced through REST API.

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

    Powered by Apache Spark 4.2.0.

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

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

  23. Databricks Runtime 18: June 10, 2026

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

  24. Databricks Runtime 18: June 8, 2026

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

  25. Databricks Runtime 18: June 4, 2026

    NATURAL JOIN now matches columns case-insensitively by default. Set spark.sql.legacy.naturalJoinCaseSensitiveColumnMatching to true to restore previous behavior.

  26. Databricks Runtime 18: May 29, 2026

    Treats NaN values as duplicates, preserves Unity Catalog foreign table permissions during metadata refresh.

  27. Databricks Runtime maintenance updates (05/26)

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

  28. Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning are in Beta

    Powered by Apache Spark 4.1.0, replacing separate release notes for feature versions.

  29. Databricks Runtime 18: May 18, 2026

    Preserves table comments by default, auto-casts compatible column types in DataFrame writes.

  30. Databricks Runtime maintenance updates (05/13)

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

  31. Databricks Runtime 18: May 4, 2026

    Clusters using XPath no longer load external DTDs, and NULL structs are stored as NULL.

  32. Databricks Runtime 18.2 is now GA

    Replaces 7.3 and 7.3 ML.

  33. Databricks Runtime maintenance updates (04/29)

    Includes bug fixes, security patches, and performance improvements for LTS versions 13.3 to 16.4.

  34. Connect Databricks to on-premises resources using an SSH reverse tunnel

    Uses proxy VMs in AWS, replacing inbound firewall access.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  35. Databricks Runtime 18: April 20, 2026

    Replaces EPSG:102100 with ESRI:102100 for GEOMETRY type. Includes OS security updates.

  36. Databricks Runtime maintenance updates (04/20)

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

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

    Powered by Apache Spark 4.1.0.

  38. Databricks Runtime 18: April 2, 2026

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

  39. Databricks Runtime maintenance updates (04/02)

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

  40. Databricks Runtime 18: March 11, 2026

    Replaces previous behavior where observation metric errors caused query failures.

  41. Databricks Runtime 18.1 is now GA

    Replaces Databricks Runtime 7.3.

  42. Databricks Runtime 18: March 10, 2026

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

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.