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Databricks releases, every cloud

20 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. Partner-powered AI features can no longer be disabled in the settings UI

    Settings API still allows enable or disable until November 1, 2026.

  3. The partner-powered AI features setting will be removed Coming soon

    Settings will remain as is, but changes will require contacting the account team after removal.

  4. Git Folder Serverless is in Beta

    Shares serverless compute and pyproject.toml environment across notebooks and files.

  5. 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.

  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. 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.

  9. 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.

  10. Dedicated group clusters will soon be available by default for workspaces with the compliance security profile enabled Coming soon

    Enables shared compute for groups with compliance security profile, supporting Databricks Runtime for ML and RDD APIs.

  11. Email notifications for expiring service principal tokens are now generally available

    Sends emails to workspace admins 7 days before token expiration for used tokens with lifetime over 7 days. No configuration is required.

  12. Governance Hub is in Beta

    Enables monitoring of data health and AI usage, requires account admin enablement from Previews page.

  13. Legacy compute_preview system schema deprecated

    Replaced by system.compute schema.

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

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

  15. Schedule deferred policy enforcement for all-purpose compute

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

  16. Instance events and instance pools system tables are now available (Public Preview)

    Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables.

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

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

  18. 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.

  19. Compute log delivery to volumes is now GA

    Delivers Spark driver, worker, and event logs to Unity Catalog volumes, recommended for log storage.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Serverless compute is enabled by default

    Eligible Google Cloud workspaces are affected, account admins no longer need to manually enable it.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  22. Flexible node types are now generally available

    Falls back to alternative instance types when specified type is unavailable, improving launch reliability.

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.