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Databricks releases, every cloud

138 releases of 1321

Last updated

  1. Sharing foreign Delta tables with OpenSharing is now generally available

    Allows sharing tables from OneLake, Hive metastore, or AWS Glue without copying data.

  2. Sharing foreign Iceberg tables with OpenSharing is now generally available

    Includes tables from external Iceberg catalogs via Lakehouse Federation.

  3. Sharing foreign schemas and tables with OpenSharing is now generally available

    Sharing foreign schemas and tables doesn't copy data into Databricks. It incurs compute and storage costs on the provider's side.

  4. Standard performance mode is now available for one-time runs in the Jobs API

    Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.

  5. The Azure Databricks Excel Add-in is now generally available

    Connects Excel to Azure Databricks workspace for querying and data import. Enables Live query for pivot tables.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  6. The Databricks Excel Add-in is now generally available

    Connects Excel to Databricks workspace for querying and data import. Enables live query for pivot tables.

    AWS, read it on their docsAzure(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. Environment version 6 is now available

    Supports serverless and standard classic compute.

  9. Share metric views with OpenSharing (Beta)

    Allows sharing with users in other metastores or accounts. Requires adding views to a share.

  10. 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.

  11. Databricks Runtime 19: September 1, 2026

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

  12. Databricks Runtime maintenance updates (09/01)

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

  13. Share foreign Delta tables with OpenSharing (Public Preview)

    Allows read-only access to Delta tables in foreign catalogs like OneLake or AWS Glue.

  14. Connect to the Databricks Genie app in Microsoft Teams with your workspace URL (Public Preview)

    Replaces server hostname with workspace URL for connection.

  15. Sharing managed Iceberg tables is now generally available

    Now supports sharing to external Iceberg clients.

  16. Sharing tables backed by default storage is now generally available

    Enabled by default on a rolling basis, can be shared with classic compute recipients.

  17. Sharing tables backed by default storage will be enabled by default for all accounts Coming soon

    Automatically enabled for most Enterprise or Premium tier accounts in mid-September 2026.

  18. JAR tasks on serverless compute are now generally available

    Requires matching Scala, Java Development Kit, and Databricks Connect versions.

  19. Genie One is now available in Google Sheets

    Queries governed data in natural language, importing results as native rows and columns.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Genie One is now available in Microsoft Excel

    Queries governed data in natural language, importing results as native rows and columns.

  22. Databricks Runtime maintenance updates (08/04)

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

  23. Sharing Delta tables with deletion vectors and column mapping is now generally available

    Enables sharing tables with deletion vectors or column mapping. Requires setup in Add tables with deletion vectors or column mapping to a share.

  24. Sharing Delta tables with Iceberg reads enabled is now generally available

    Enables reading Delta tables as Iceberg tables, requires Databricks Runtime 8.4 or above.

  25. Serverless compute access control is now generally available

    Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.

  26. Databricks Runtime maintenance updates (07/24)

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

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

    Receives 3 years of stability and security fixes.

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

    Powered by Apache Spark 4.2.0.

  29. Databricks Runtime 19: July 23, 2026

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

  30. Databricks-hosted sample datasets available in the samples catalog

    Available in Unity Catalog-enabled workspaces through OpenSharing as samples.databricks.datasets.

  31. Trigger.AvailableNow support for OpenSharing streaming (GA)

    Replaces Trigger.Once, requires Databricks Runtime 18.0 or above.

  32. July 6, 2026

    Updates from Databricks Runtime 18, adds Spark Declarative Pipelines and IP address functions.

  33. Databricks Runtime maintenance updates (06/29)

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

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

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

  35. Publishing a Unity Catalog catalog to Microsoft Fabric is in Public Preview

    Creates a read-only mirrored catalog, allowing Fabric users to query Unity Catalog tables directly.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  36. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are in Beta

    Powered by Apache Spark 4.2.0.

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

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

  38. OIDC is now supported for sharing to Iceberg clients

    Supports Iceberg REST Catalog clients like Snowflake or OSS Spark. Requires OpenID Connect federation.

  39. Databricks Runtime 18: June 10, 2026

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

  40. Databricks Runtime 18: June 8, 2026

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

  41. 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.

  42. Write data from Microsoft Excel back to Azure Databricks

    Writes to Unity Catalog tables, overwriting existing ones if needed.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)

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.