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Databricks releases, every cloud

20 releases of 1321

Last updated

  1. Identity attributes (Beta)

    Stores 9 IdP-sourced attributes for Unity Catalog ABAC policies, provisioned via SCIM 2.1.

  2. Okta support for automatic identity management is now generally available

    Lets you sync users and groups from Okta without SCIM provisioning.

  3. Automatic identity management for Okta (Public Preview)

    Syncs Okta users and groups without SCIM provisioning. Requires identity federated workspaces.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  4. Genie Code now supports auto-approve for tool actions

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

  5. Account access denylist for automatic identity management (Public Preview)

    Blocks access for specified users, groups, or service principals. Applies to AWS and GCP accounts with automatic identity management.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  6. Sample Data Explorer is generally available

    Lets you ask questions about Unity Catalog tables using natural language, returning SQL queries.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Workspace skills for Genie Code are now available

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

  9. Databricks Assistant is now Genie Code

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

  10. Connect Databricks Assistant to MCP servers

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

  11. 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)
  12. Create skills for Databricks Assistant

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

  13. Databricks Assistant Agent mode is now in Public Preview

    Automates multiple steps from a single prompt, using Azure OpenAI or Anthropic.

  14. 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)
  15. 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)
  16. Notebook improvements

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

  17. Databricks Assistant Agent mode: Data Science Agent is in Beta

    Orchestrates multi-step workflows from a single prompt, building entire notebooks for tasks like EDA and machine learning.

  18. Databricks Assistant integrated with compute

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

  19. Databricks-hosted models for Assistant are now GA

    Available on all cloud platforms at no extra cost.

  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. Databricks Assistant: User and workspace instructions now available

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

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

    Performs reasoning and editing across multiple cells without manual intervention.

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.