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Databricks releases, every cloud

29 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. Git Folder Serverless is in Beta

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

  4. Genie Code scheduled tasks are now generally available

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

  5. 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.

  6. 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)
  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 is now available as a Lakeflow Jobs task (Beta)

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

  9. 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.

  10. Choose an effort level in Genie Code

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

  11. Manage project environments with %uv commands

    Requires environment version 5 or above. Supports serverless notebooks.

  12. Genie Code supports file uploads

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

  13. Custom trace views in the MLflow trace explorer are in Beta

    Genie generates views based on plain language descriptions, surfacing relevant trace fields and metrics.

  14. 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)
  15. Full page Genie Code is now generally available

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

  16. 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.

  17. Web terminal on serverless GPU compute (AI Runtime) is in Public Preview

    Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  18. 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.

  19. Genie Code scheduled tasks are in Beta

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

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  21. MLflow trace storage in Unity Catalog is now generally available

    Stores traces in OpenTelemetry format with unlimited storage and SQL query access.

  22. 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
  23. Genie Code system table now counts only user-submitted interactions

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

  24. Schedule deferred policy enforcement for all-purpose compute

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

  25. 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.

  26. Customer-managed keys now support MLflow managed evaluation features

    Supports MLflow 3 scorers and requires non-CMK encrypted catalog.

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

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

  28. MLflow trace storage in Unity Catalog is now in Public Preview

    Stores OpenTelemetry traces, governed by Unity Catalog permissions, queryable from Databricks SQL or MLflow Python SDK.

  29. Compute log delivery to volumes is now GA

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

  30. Store and query MLflow traces in Unity Catalog (Beta)

    Stores MLflow traces in Delta tables for long-term retention and analysis using OpenTelemetry format.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  31. 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.