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.
- Share foreign Delta tables with OpenSharing (Public Preview)
Allows read-only access to Delta tables in foreign catalogs like OneLake or AWS Glue.
- Sharing managed Iceberg tables is now generally available
Now supports sharing to external Iceberg clients.
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- 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.
- Environment variables for serverless jobs are in Beta
Requires workspace admin to enable from Previews page.
- 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) - Scala and Java UDFs in Unity Catalog are now generally available
Reuses existing JVM logic, offers better performance than Python UDFs.
- 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) - Object metadata column is now in Public Preview
Exposes object properties like MIME type and tags, available in Databricks Runtime 18.1.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - MySQL integrated CDC pipeline is now in Beta
Replaces separate ingestion gateway, requires single pipeline update.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Govern LLMs in Unity Catalog with model services (Beta)
Represents a governed LLM endpoint, sharable across workspaces via Unity Catalog privileges.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Parquet v2 for Delta Lake tables is generally available
Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.
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- AUTO CDC flows for streaming tables in Databricks SQL are generally available
Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - Auto time-to-live for automatic row deletion is generally available
Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column.
- Converting a partitioned table to liquid clustering is generally available
Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.
- Lakehouse Replay (Beta)
Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - Spark Declarative Pipelines on Lakeflow updates are retained for 60 days
Retention period increased from 30 to 60 days, applying to UI and REST API updates.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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.
- 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) - SQL alert task for jobs (Beta)
Evaluates SQL alerts as part of workflows, enabling automated condition checks and notifications.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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.
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.