Databricks releases, every cloud
- Data Classification is now available by default for some workspaces with the compliance security profile enabled
Requires compliance security profile and specific controls like HIPAA or HITRUST.
- Enable access requests across your Unity Catalog metastore (Public Preview)
Enables requests at metastore level, inherited by all catalogs and schemas.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - The Discover page is now in Public Preview
Helps find Unity Catalog data assets without requiring catalog hierarchy knowledge. Organizes tables and dashboards by business area.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Comments on foreign tables (Beta)
Syncs table and column comments from external data sources to Unity Catalog foreign tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - OneLake catalog federation is generally available
Allows reading OneLake data without copying, with read-only access and direct queries against file storage.
- Configure the recovery period for dropped managed tables (Public Preview)
Sets recovery period to 0 hours or 7-30 days, requires Databricks Runtime 17.3.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Databricks-to-Databricks Delta Sharing across regulatory domains is now available (Public Preview)
Supports sharing with AWS GovCloud, AWS GovCloud DoD, and Azure China.
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.
- ABAC GRANT policies for models (Beta)
Grants EXECUTE privilege on models based on governed tags, supporting MLflow and foundation models.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - External lineage is now generally available
Registers external assets like Salesforce or MySQL sources and Tableau dashboards. Automatically records source lineage for Lakeflow Connect pipelines.
- Column popularity is now available in the Catalog Explorer
Shows column query count in the Overview tab, determined by read queries.
- Cross-engine attribute-based access controls (Beta)
Enforces row filters and column masks server-side for external engines reading Unity Catalog tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Unity Catalog managed Apache Iceberg tables, foreign Apache Iceberg tables, and Apache Iceberg v3 features are generally available
Supports liquid clustering, predictive optimization, and materialized views. Requires Databricks Runtime or external Iceberg-compatible engines.
- Serve custom LLMs with Custom Model Serving (Beta)
Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.
- Catalog commits are now generally available
Enables multi-statement transactions on Unity Catalog managed Delta tables, supported by products like MLflow and Delta Sharing.
- MLflow trace storage in Unity Catalog is now in Public Preview
Stores OpenTelemetry traces, governed by Unity Catalog permissions, queryable from Databricks SQL or MLflow Python SDK.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Attribute-based access control (ABAC) is now generally available
Uses governed tags to enforce row filter and column mask policies. Replaces per-table configuration with automatic application at catalog, schema, or table level.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Tag Unity Catalog functions
Requires Databricks Runtime 18.1 or above. Uses SET TAG and UNSET TAG commands.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Recently Resolved Incidents section in Data Quality Monitoring (Beta)
Shows automatically recovered unhealthy tables, including resolution time.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Language selector for AI-generated comments in Catalog Explorer
Saves selection in browser's local storage, applying to all entity types.
- AI Runtime 1xH100 accelerator (Beta)
Supports 1xH100 accelerator, see Hardware options for details.
- Databricks Data Classification is now GA
Automatically classifies and tags sensitive data in Unity Catalog using AI.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Altering a catalog or schema's managed storage location is now GA
Modifies default cloud storage location for new managed tables and volumes.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Create and write to Unity Catalog tables from external Delta clients (Beta)
Requires catalog-managed commits to be enabled, supports Apache Spark clients.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - SQL reference documentation for managing governed tags
Adds 5 SQL statements: CREATE, ALTER, DROP, DESCRIBE, SHOW.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Governed tags are generally available
Allow administrators to define controlled tags for Unity Catalog and workspace objects, enforcing consistent metadata tagging.
- Customer-managed keys for Unity Catalog are generally available
Encrypts data in Unity Catalog catalogs using cloud KMS keys. Requires default storage.
- AI Runtime is now in Public Preview
Adds GPU support to serverless compute for deep learning workloads.
- Create alerts for anomaly detection in the Data Quality Monitoring UI (Beta)
Creates notifications for unusual data patterns, available in Beta.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - ABAC policy functions now use snake_case naming
Replaces camelCase with snake_case, old forms still work but will be deprecated.
- Health indicators for tables in Catalog Explorer (Public Preview)
Shows freshness and completeness status based on anomaly detection.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Data quality monitoring documentation moved to Data governance (Unity Catalog)
Moved from Data guides to Data governance chapter.
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.
- Customer-managed keys for Unity Catalog
Uses own encryption keys for Unity Catalog data. Replaces automatic encryption.
- Customer-managed keys for Unity Catalog (Beta)
Uses own encryption keys for Unity Catalog catalogs. Replaces automatic encryption.
- Customer-managed keys for Unity Catalog (Public Preview)
Protects data with user-owned encryption keys, replacing automatic encryption.
- Discover page and domains (Beta)
Groups data assets by functional area, built on governed tags.
- OneLake catalog federation (Beta)
Allows read-only access to OneLake storage without copying data. Runs queries directly against file storage.
- File events enabled by default on new external locations
Enabled on new locations, detects file changes for storage jobs and pipelines, can be disabled after creation.
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.