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Databricks releases, every cloud

21 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. 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)
  10. 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
  11. Custom Docker images for AI Runtime CLI workloads (Beta)

    Allows custom system library versions and complex dependencies, requires setup via Use custom Docker images.

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

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

  13. AI Runtime CLI (Beta)

    Submits and manages distributed training workloads on serverless GPU compute from a local machine.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  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. Serve custom LLMs with Custom Model Serving (Beta)

    Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  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. AI Runtime 1xH100 accelerator (Beta)

    Supports 1xH100 accelerator, see Hardware options for details.

    AWS, read it on their docsAzure, read it on their docsGCP(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)
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  21. Declarative Feature Engineering APIs (Beta)

    Define time-windowed aggregation features from data sources, materialize to Delta tables or Lakebase. Available in us-east-1 and us-west-2 regions.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(not on this cloud)
  22. Endpoint telemetry for custom model serving endpoints (Beta)

    Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  23. 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.