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Databricks releases, every cloud

19 releases of 1321

Last updated

  1. Base environments are now supported on classic compute (Beta)

    Manages Python dependencies using Databricks-provided or custom environments.

  2. Genie Code adds conversation controls

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

  3. 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.

  4. Default Python package repositories are GA for Lakeflow pipelines and classic compute

    Supports private or authenticated registries as workspace defaults. Applies to UI and API created classic compute.

  5. Choose an effort level in Genie Code

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

  6. Manage project environments with %uv commands

    Requires environment version 5 or above. Supports serverless notebooks.

  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. Tags page in Governance Hub (Beta)

    Provides a centralized view of tag usage, summarizes governed tags, and offers recommendations for invalid values. Requires account admins to enable from Previews page.

  10. Target an Azure capacity reservation group for classic compute

    Requires VNet injection, guarantees compute capacity for constrained VM types.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  11. Serverless compute is now available in the Azure UK West region

    Supports notebooks, jobs, pipelines, and SQL warehouses, with private connectivity.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP, read it on their docs
  12. Genie Code system table now counts only user-submitted interactions

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

  13. Email notifications for expiring service principal tokens (Beta)

    Sends emails to workspace admins when tokens expire in 7 days, requiring no configuration.

  14. Genie Code now uses models served through OpenAI on Databricks

    Adds OpenAI to existing Azure OpenAI and Anthropic models.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  15. Schedule deferred policy enforcement for all-purpose compute

    Applies on next restart or immediately, and admins can cancel scheduled enforcements.

  16. Databricks Container Services for standard compute is now available (Beta)

    Requires Databricks Runtime 18.3 or later, allows custom Docker images in shared compute.

  17. Configure an additional recipient for workspace operational emails

    Receives operational updates like breaking changes and incident communications, use a distribution-list alias for multiple people.

  18. Updated AWS tag character restrictions

    Tag keys and values now cannot contain spaces or /. Tag keys also cannot be just . , .. , or _index.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(not on this cloud)
  19. Some partner-powered AI features are now available in-country for Brazil, Canada, Japan, Korea, Singapore, and the UK

    Requires Enforce data processing within workspace Geography enabled. Data does not leave the country.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Configure compute to use AWS Capacity Blocks

    Replaces on-demand instances, requires AWS account setup.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)

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.