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Databricks releases, every cloud

44 releases of 1321

Last updated

  1. Sharing foreign Delta tables with OpenSharing is now generally available

    Allows sharing tables from OneLake, Hive metastore, or AWS Glue without copying data.

  2. Sharing foreign Iceberg tables with OpenSharing is now generally available

    Includes tables from external Iceberg catalogs via Lakehouse Federation.

  3. Sharing foreign schemas and tables with OpenSharing is now generally available

    Sharing foreign schemas and tables doesn't copy data into Databricks. It incurs compute and storage costs on the provider's side.

  4. Share metric views with OpenSharing (Beta)

    Allows sharing with users in other metastores or accounts. Requires adding views to a share.

  5. 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)
  6. Share foreign Delta tables with OpenSharing (Public Preview)

    Allows read-only access to Delta tables in foreign catalogs like OneLake or AWS Glue.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Sharing managed Iceberg tables is now generally available

    Now supports sharing to external Iceberg clients.

  9. Sharing tables backed by default storage is now generally available

    Enabled by default on a rolling basis, can be shared with classic compute recipients.

  10. Sharing tables backed by default storage will be enabled by default for all accounts Coming soon

    Automatically enabled for most Enterprise or Premium tier accounts in mid-September 2026.

  11. Sharing Delta tables with deletion vectors and column mapping is now generally available

    Enables sharing tables with deletion vectors or column mapping. Requires setup in Add tables with deletion vectors or column mapping to a share.

  12. Sharing Delta tables with Iceberg reads enabled is now generally available

    Enables reading Delta tables as Iceberg tables, requires Databricks Runtime 8.4 or above.

  13. 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)
  14. Databricks-hosted sample datasets available in the samples catalog

    Available in Unity Catalog-enabled workspaces through OpenSharing as samples.databricks.datasets.

  15. Trigger.AvailableNow support for OpenSharing streaming (GA)

    Replaces Trigger.Once, requires Databricks Runtime 18.0 or above.

  16. Protobuf tensor input for custom model serving endpoints (Public Preview)

    Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026.

  17. 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)
  18. OIDC is now supported for sharing to Iceberg clients

    Supports Iceberg REST Catalog clients like Snowflake or OSS Spark. Requires OpenID Connect federation.

  19. 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)
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  21. 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)
  22. Cloud token access for open Delta Sharing sharing (GA)

    Supports directory-based access mode, includes cloud storage location and temporary credentials.

  23. 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)
  24. Column-level SAP governance tags sync into Unity Catalog

    Includes fieldSemantics, isPotentiallyPersonal, and isPotentiallySensitive tags for ABAC policies.

  25. Share foreign Iceberg tables with Delta Sharing (Public Preview)

    Adds read-only access to federated foreign Iceberg tables. Requires Delta Sharing.

  26. SAP semantic metadata syncs automatically into Unity Catalog

    Includes table and column comments, primary keys, and foreign keys.

  27. AI Runtime is now in Public Preview

    Adds GPU support to serverless compute for deep learning workloads.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  28. Changes to OpenSharing (formerly Delta Sharing) open recipient tokens Coming soon

    Replaces old Delta Sharing endpoint with recipient-specific URL format. New tokens use https://<recipient-id>.opensharing.us-west-2.cloud.databricks.com.

  29. 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)
  30. 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)
  31. Update request parameters for Delta Sharing recipient audit log events

    Includes catalog_name, in addition to share_name.

  32. Delta Sharing to external Iceberg clients is in Public Preview

    Supports Snowflake, Trino, Flink, and Spark clients with zero-copy access.

  33. New token expiration policy for open Delta Sharing

    New tokens expire in 1 year, existing ones expire on December 8, 2026.

  34. ABAC-secured assets shared using Delta Sharing is in Public Preview

    Applies to tables and schemas, but not streaming tables or materialized views.

  35. Delta Sharing views automatically permitted in serverless network policies

    Permitted regardless of storage location alignment between shared tables and view dependencies. Simplifies network policy configuration.

  36. SAP BDC connector for Azure Databricks supports cross-cloud sharing

    Supports sharing data between different cloud environments.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  37. SAP BDC connector for Databricks supports cross-cloud sharing

    Enables data sharing between different cloud environments. Requires SAP Business Data Cloud setup.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  38. The SAP Business Data Cloud (BDC) Connector for Azure Databricks is generally available

    Enables secure data sharing between SAP BDC and Unity Catalog-enabled Azure Databricks workspaces.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  39. Delta Sharing recipients can apply row filters and column masks (GA)

    Recipients can filter and mask shared tables, but providers can't share tables with existing row-level security.

  40. Delta Sharing on Lakehouse Federation is in Beta

    Shares foreign schemas and tables from query federation.

  41. Mount Delta shares to an existing shared catalog

    Replaces need to create a new catalog for each share, now mounts to existing catalog.

  42. The SAP Business Data Cloud (BDC) Connector for Databricks is generally available

    Enables secure data sharing between SAP BDC and Unity Catalog-enabled Databricks workspaces.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(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.