Skip to content

Databricks releases, every cloud

24 releases of 1321

Last updated

  1. Genie Code adds conversation controls

    Lets you fork conversations, use /btw for side questions, and edit earlier messages.

  2. Genie Code scheduled tasks are now generally available

    Runs prompts on a recurring schedule, producing a continuable Genie chat with results.

  3. Genie Code scheduled tasks will soon be available by default for workspaces with the compliance security profile enabled Coming soon

    Replaces manual runs of recurring analysis tasks. Available in October 2026.

  4. Genie Code for AI Runtime (Public Preview)

    Generates distributed training code and resolves environment issues. Requires AI Runtime.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  5. Genie Code is now available as a Lakeflow Jobs task (Beta)

    Runs prompts autonomously, reading upstream outputs and calling tools as needed, returning a conversation link.

  6. Choose an effort level in Genie Code

    Sets balance between response quality and cost, defaults to Auto for highest quality.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Genie Code supports file uploads

    Uploads are used as chat context, see Attach files for details.

  9. Full page Genie Code is now generally available

    Runs multiple chats in parallel, with notebooks and files as tabs.

  10. Environment variables for serverless jobs are in Beta

    Requires workspace admin to enable from Previews page.

  11. Organize your work with spaces

    Preserves open tabs for specific folders or projects.

  12. Genie Code scheduled tasks are in Beta

    Runs prompts on a recurring schedule, producing a continuable Genie chat with results.

  13. Scala and Java UDFs in Unity Catalog are now generally available

    Reuses existing JVM logic, offers better performance than Python UDFs.

  14. Object metadata column is now in Public Preview

    Exposes object properties like MIME type and tags, available in Databricks Runtime 18.1.

  15. MySQL integrated CDC pipeline is now in Beta

    Replaces separate ingestion gateway, requires single pipeline update.

  16. Parquet v2 for Delta Lake tables is generally available

    Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.

  17. Genie Code system table now counts only user-submitted interactions

    Excludes background and automated requests, such as autocomplete and quick-fix suggestions.

  18. AUTO CDC flows for streaming tables in Databricks SQL are generally available

    Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.

  19. Auto time-to-live for automatic row deletion is generally available

    Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Converting a partitioned table to liquid clustering is generally available

    Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.

  22. Lakehouse Replay (Beta)

    Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.

  23. Spark Declarative Pipelines on Lakeflow updates are retained for 60 days

    Retention period increased from 30 to 60 days, applying to UI and REST API updates.

  24. SQL alert task for jobs (Beta)

    Evaluates SQL alerts as part of workflows, enabling automated condition checks and notifications.

  25. View and restore your recent workspace tab sessions

    Restores up to 10 recent sessions.

  26. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

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.