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Databricks releases, every cloud

217 releases of 1321

Last updated

  1. AI agents: Authorize on-behalf-of-user Public Preview

    Lets agents act as the Databricks user who runs the query for added security.

  2. Migrate Spark Declarative Pipelines on Lakeflow from legacy publishing mode is rolled back to Public Preview

    Reverts migration feature to Public Preview due to issues. Requires re-enabling default publishing mode in pipelines.

  3. Interact with Azure Databricks jobs in a Power Automate flow (Public Preview)

    Adds Azure Databricks job action to Power Automate flows. Requires adding the action to a flow.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  4. Admins can now manage a workspace's serverless base environments (Public Preview)

    Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.

  5. Dashboard external embedding Public Preview and new custom calculations functions

    Adds ln, log, log10, and round functions, increases custom calculations limit to 200 per dataset.

  6. Default warehouse setting is now available in Beta

    Applied across SQL editor, AI/BI dashboards, and other tools, with optional user override.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. External MCP servers are in Beta

    Enables agent access to external tools, requires connecting to Model Context Protocol servers.

  9. Databricks Runtime 17.2 and Databricks Runtime 17.2 ML are in Beta

    Includes SQL and API enhancements, reliability and performance improvements.

  10. Governed tags are Public Preview

    Enforce consistent tagging with admin-defined keys and values.

  11. Budget policy support for Lakebase database instances and synced tables (Public Preview)

    Tags database instances and synced tables for billing attribution, also supports custom tags for compute usage.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  12. Updates for customer-managed VPC workspaces (Public Preview)

    Adds Private Service Connect conversion and network config changes.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  13. Updating workspace virtual network configurations is now in Public Preview

    Allows migration to custom VNet or changes to existing VNet injection setups.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  14. Mosaic AI Vector Search reranker Public Preview

    Improves retrieval quality with reranking, see usage details in query documentation.

  15. Spark Declarative Pipelines on Lakeflow template in bundles in the workspace (Public Preview)

    Creates ETL pipelines in workspace bundles using Lakeflow template. Requires New ETL pipeline setup.

  16. Access requests in Unity Catalog (Public Preview)

    Sends requests to emails, Slack, or Teams, or internal systems, with optional default email to owners.

  17. Disable legacy features for new workspaces (Public Preview)

    Disables DBFS root, Hive metastore, and runtime versions prior to 13.3 LTS. Applies to new workspaces only.

  18. Lakebase Public Preview enabled by default

    No admin enablement required, can be disabled by admins.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  19. Serverless workspaces are now Public Preview

    Come pre-configured with serverless compute and default storage. Account admins enable in account console.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP(unknown)
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  21. Create external Delta tables from third-party clients (Public Preview)

    Backed by Delta Lake, works with Apache Spark, see Access Databricks tables from Delta clients.

  22. Path credential vending (Public Preview)

    Grants short-lived credentials to external locations in Unity Catalog metastore.

  23. New compute policy form (Public Preview)

    Simplifies writing compute policies with UI elements, replacing syntax references with dropdown menus.

  24. Disable DBFS root and mounts is in Public Preview

    Disables access to DBFS root and mounts in existing workspaces. Requires opting in per workspace.

  25. Configure single-sign on with your identity provider (Public Preview)

    Supports Okta and Microsoft Entra ID. Replaces default Google Cloud Identity setup.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  26. Add Azure Databricks connector in Power Platform to a data policy (Public Preview)

    Adds Azure Databricks to Business data group. Requires data policy setup.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  27. Create Dataverse virtual tables from Azure Databricks tables in Power Apps (Public Preview)

    Uses Azure Databricks connector in Power Apps.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  28. Dynamic partition overwrite with INSERT REPLACE USING (Public Preview)

    Replaces part of a table with query results, matching rows by = operator on all partition columns. Requires Databricks Runtime 16.3.

  29. Selectively replace data with INSERT REPLACE ON (Public Preview)

    Replaces part of a table with query results based on a user-defined condition, available in Databricks Runtime 17.1.

  30. Real-time mode in Structured Streaming (Public Preview)

    Enables sub-second latency data processing for operational workloads.

  31. Supervisor Agent is in Beta

    Supports designing multi-agent AI systems combining Genie Agents and Knowledge Assistant endpoints. Integrates with Review App.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  32. Databricks Runtime 17.1 and Databricks Runtime 17.1 ML are in Beta

    Includes improvements to streaming, SQL, and connectors, with reliability and performance enhancements.

  33. Azure Databricks connector for Power BI now supports the ADBC driver (Public Preview)

    Replaces ODBC driver, requires configuration change.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  34. Databricks connector for Power BI now supports the ADBC driver (Public Preview)

    Replaces ODBC driver, requires configuration change.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  35. Git folders now supports multiple Git credentials per user (Public Preview)

    Managed through the UI, supports multiple Git providers.

  36. Bring your own data lineage (Public Preview)

    Includes external assets and workflows run outside of Databricks. Requires Unity Catalog.

  37. Manage network policies for serverless egress control (Public Preview)

    Enforces outbound network policies for SQL warehouses and model serving endpoints, allowing domain and storage account allowlisting.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  38. Sharing managed Iceberg tables in Delta Sharing is in Public Preview

    Supports Databricks-to-Databricks and open sharing. Requires adding tables to a share.

  39. Moving streaming tables and materialized views between pipelines is in Public Preview

    Supports moving tables created by Spark Declarative Pipelines on Lakeflow.

  40. Attribute-based access control (ABAC) in Unity Catalog is in Beta

    Uses tags and user-defined functions to enforce fine-grained access controls.

  41. Convert to Unity Catalog managed table from external table is in Public Preview

    Uses ALTER TABLE SET MANAGED command. Requires participating customer status.

  42. Foreign Apache Iceberg tables are in Public Preview

    Supports reading Iceberg tables from HMS, Glue, and Snowflake Horizon Catalog. Requires Lakehouse Federation.

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.