Databricks releases, every cloud
- Sharing foreign Delta tables with OpenSharing is now generally available
Allows sharing tables from OneLake, Hive metastore, or AWS Glue without copying data.
- Sharing foreign Iceberg tables with OpenSharing is now generally available
Includes tables from external Iceberg catalogs via Lakehouse Federation.
- 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.
- Share metric views with OpenSharing (Beta)
Allows sharing with users in other metastores or accounts. Requires adding views to a share.
- Genie Code for AI Runtime (Public Preview)
Generates distributed training code and resolves environment issues. Requires AI Runtime.
- Share foreign Delta tables with OpenSharing (Public Preview)
Allows read-only access to Delta tables in foreign catalogs like OneLake or AWS Glue.
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- Sharing managed Iceberg tables is now generally available
Now supports sharing to external Iceberg clients.
- Sharing tables backed by default storage is now generally available
Enabled by default on a rolling basis, can be shared with classic compute recipients.
- 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.
- 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.
- 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.
- 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.
- Databricks-hosted sample datasets available in the samples catalog
Available in Unity Catalog-enabled workspaces through OpenSharing as samples.databricks.datasets.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Trigger.AvailableNow support for OpenSharing streaming (GA)
Replaces Trigger.Once, requires Databricks Runtime 18.0 or above.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Protobuf tensor input for custom model serving endpoints (Public Preview)
Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Custom Docker images for AI Runtime CLI workloads (Beta)
Allows custom system library versions and complex dependencies, requires setup via Use custom Docker images.
- OIDC is now supported for sharing to Iceberg clients
Supports Iceberg REST Catalog clients like Snowflake or OSS Spark. Requires OpenID Connect federation.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - AI Runtime CLI (Beta)
Submits and manages distributed training workloads on serverless GPU compute from a local machine.
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- Serve custom LLMs with Custom Model Serving (Beta)
Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.
- Cloud token access for open Delta Sharing sharing (GA)
Supports directory-based access mode, includes cloud storage location and temporary credentials.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - AI Runtime 1xH100 accelerator (Beta)
Supports 1xH100 accelerator, see Hardware options for details.
- Column-level SAP governance tags sync into Unity Catalog
Includes fieldSemantics, isPotentiallyPersonal, and isPotentiallySensitive tags for ABAC policies.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Share foreign Iceberg tables with Delta Sharing (Public Preview)
Adds read-only access to federated foreign Iceberg tables. Requires Delta Sharing.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - SAP semantic metadata syncs automatically into Unity Catalog
Includes table and column comments, primary keys, and foreign keys.
- AI Runtime is now in Public Preview
Adds GPU support to serverless compute for deep learning workloads.
- 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.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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.
- Endpoint telemetry for custom model serving endpoints (Beta)
Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry.
- Update request parameters for Delta Sharing recipient audit log events
Includes catalog_name, in addition to share_name.
- Delta Sharing to external Iceberg clients is in Public Preview
Supports Snowflake, Trino, Flink, and Spark clients with zero-copy access.
- New token expiration policy for open Delta Sharing
New tokens expire in 1 year, existing ones expire on December 8, 2026.
- ABAC-secured assets shared using Delta Sharing is in Public Preview
Applies to tables and schemas, but not streaming tables or materialized views.
- 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.
- SAP BDC connector for Azure Databricks supports cross-cloud sharing
Supports sharing data between different cloud environments.
- SAP BDC connector for Databricks supports cross-cloud sharing
Enables data sharing between different cloud environments. Requires SAP Business Data Cloud setup.
- 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.
- 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.
- Delta Sharing on Lakehouse Federation is in Beta
Shares foreign schemas and tables from query federation.
- Mount Delta shares to an existing shared catalog
Replaces need to create a new catalog for each share, now mounts to existing catalog.
- 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.
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.