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Databricks releases, every cloud

17 releases of 1321

Last updated

  1. Automated setup for S3 external locations

    Uses AWS IAM temporary delegation to configure external locations and provision required resources.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP, read it on their docs
  2. Reorganized Spark Declarative Pipelines on Lakeflow documentation

    Conceptual topics are now under Concepts.

  3. Genie Code now supports auto-approve for tool actions

    Approves tool actions without prompts, using an AI classifier to block risky ones.

  4. Workspace skills for Genie Code are now available

    Workspace admins can create shared skills for machine learning pipelines and domain-specific processes.

  5. Databricks Documentation site table of contents tabs

    Replaces static sidebar with tabbed navigation, includes 6 context tabs.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  6. Databricks Assistant is now Genie Code

    Adds autonomous multi-step data tasks, replaces Databricks Assistant.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Change to use_case field in VPC endpoint API responses Coming soon

    Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  9. Connect Databricks Assistant to MCP servers

    Connects to external tools and data sources through MCP servers, requiring permission to use added servers.

  10. Partner-powered AI features are now supported in the Canada, Brazil, and United Kingdom Azure Geographies

    Uses models hosted in the same Azure Geography as the workspace, requires cross-geo processing for some features.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  11. Create skills for Databricks Assistant

    Extends Databricks Assistant with domain-specific tasks, following the open Agent Skills standard.

  12. Databricks Assistant Agent mode can now use models served through Anthropic on Databricks

    Requires partner-powered AI features to be enabled. Uses endpoints hosted by Databricks.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  13. The Data Science Agent can now also use models served through Anthropic on Databricks

    Uses models served through Anthropic when partner-powered AI features are enabled. Requires partner-powered AI features to be enabled.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  14. Notebook improvements

    Cell execution minimap appears in right margin, supports up to 100MB notebooks.

  15. Databricks Assistant integrated with compute

    Creates compute resources, pools, and policies, and answers questions about them. Available on some compute pages.

  16. Databricks-hosted models for Assistant are now GA

    Available on all cloud platforms at no extra cost.

  17. Databricks Assistant: User and workspace instructions now available

    Custom instructions can be added by users or admins, applying to all Assistant experiences.

  18. Edit mode in Assistant does multi-cell code refactoring and more

    Performs reasoning and editing across multiple cells without manual intervention.

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