Databricks releases, every cloud
- Metastore-level ABAC policies are in Beta
Applies across every catalog in the metastore. Replaces per-catalog policy setup.
- Session restore for serverless jobs is in Public Preview
Restores Python variables and Spark session into a new notebook for debugging or exploration, requires eligible serverless compute job runs.
- ABAC DENY policies are in Beta
Explicitly deny MANAGE ACCESS CONTROL privilege, taking precedence over grants.
- Zerobus Ingest into default storage is now in Public Preview
Supports tables backed by default storage, requires Lakeflow Connect setup.
- Pipeline events system table is in Beta
Records Lakeflow pipeline event logs, capturing lifecycle transitions and errors, for querying and building alerts.
- The INSERT, UPDATE, and DELETE privileges are in Beta
Require Databricks Runtime 18.1 or above, alternative to MODIFY privilege.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Unity Catalog ABAC GRANT policies support more securable types in Beta
Now supports model services, model provider services, MCP services, and agent services, in addition to models.
- Governed tags system table is in Beta
Contains records for each governed tag key, including customer-created and system-generated tags.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - C++ SDK for the Zerobus Ingest connector is now available in Beta
Supports JSON and Protocol Buffers for ingesting into Unity Catalog Delta tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Role-based access control (RBAC) is in Public Preview
Lets users assume a role with limited permissions. Requires account and workspace admin setup.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Reddit Ads connector is now available in Beta
Ingests advertising campaign data and performance metrics from Reddit Ads into Databricks.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Secrets in Unity Catalog (Public Preview)
Uses three-level namespace and Unity Catalog privileges for access control.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Restrict access to AI Functions with Unity Catalog permissions (Public Preview)
Requires account team enablement, restricts access to task-specific AI Functions.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - 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) - 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) - External data access for pipeline streaming tables and materialized views (Public Preview)
Enables external Delta and Iceberg clients to read data without copying. Uses Unity Catalog and Iceberg catalog REST APIs.
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
- Real-time mode in Spark Declarative Pipelines on Lakeflow, and the update_flow API are now available (Public Preview)
Achieves end-to-end latency as low as 5ms, uses update output mode.
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 parameters are now in Beta
Define key-value pairs at pipeline level, referenced in SQL using named parameter syntax.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - SQL alert task in Lakeflow Jobs is now in Public Preview
Evaluates a Databricks SQL alert as part of a Lakeflow Job, returning its state as output.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - Lakeflow Designer is now in Public Preview
Offers drag-and-drop canvas and natural language for building data workflows.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Query-based connectors for Lakeflow Connect (Public Preview)
Ingests data from databases using a cursor column, supporting Oracle, Teradata, and others.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - Customer-managed keys for Unity Catalog (Public Preview)
Protects data with user-owned encryption keys, replacing automatic encryption.
- JAR tasks on serverless compute is now in Public Preview
Allows running JAR jobs without a cluster.
- Configure default Python package repositories for Spark Declarative Pipelines on Lakeflow (Public Preview)
Allows installation from internal Python repositories without index-url or extra-index-url. Requires workspace admin configuration.
- Tag Databricks Apps (Public Preview)
Organize and categorize apps, but search is not supported.
- Databricks Assistant Agent mode is now in Public Preview
Automates multiple steps from a single prompt, using Azure OpenAI or Anthropic.
- MySQL connector in Lakeflow Connect (Public Preview)
Enables incremental data ingestion from various MySQL databases. Requires access request through account team.
- PostgreSQL connector in Lakeflow Connect (Public Preview)
Enables incremental data ingestion from various PostgreSQL databases. Requires configuration.
- Microsoft Dynamics 365 connector (Public Preview)
Ingests data from Dynamics 365 apps into Databricks. Requires Lakeflow Connect.
- NetSuite connector (Public Preview)
Ingests data from NetSuite2.com via API, CLI, or notebook.
- ForEachBatch for Spark Declarative Pipelines on Lakeflow is available (Public Preview)
Allows processing streams as micro-batches in Python. Requires Lakeflow setup.
- ABAC-secured assets shared using Delta Sharing is in Public Preview
Applies to tables and schemas, but not streaming tables or materialized views.
- Convert foreign tables to Unity Catalog managed or external tables (Public Preview)
Requires Databricks Runtime 17.0 LTS or above. Uses ALTER TABLE SET MANAGED or SET EXTERNAL.
- JDBC Unity Catalog connection in Beta
Requires Databricks Runtime 17.3 or above. Available on standard, dedicated, or serverless compute.
- SFTP connector (Public Preview)
Extends Auto Loader to ingest files from SFTP servers.
- Attribute-based access control (ABAC) now in Public Preview
Enforces access control across all workspaces in an account. Requires Unity Catalog.
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.