Week of June 9, 2025
23 releases between June 9, 2025 and June 15, 2025, 6 of them change something you already run.
- GA
- 6
- Preview
- 10
- Update
- 7
- On
- AWS 22, Azure 22, GCP 19
- Attribute-based access control (ABAC) in Unity Catalog is in Beta
Uses tags and user-defined functions to enforce fine-grained access controls.
- Automatic liquid clustering is now GA
Enables intelligent clustering key selection on Unity Catalog managed tables.
- Dashboard visualization fixes and schedule updates
Fixes tooltip highlighting and table collapse issues. Parameterized schedules are temporarily disabled.
- AI Gateway is now generally available
Streamlines AI model usage and management with features like permission and rate limiting, and payload logging.
- AUTO CDC APIs replace APPLY CHANGES
Supports change data feeds in Spark Declarative Pipelines on Lakeflow. Replaces APPLY CHANGES APIs.
- Convert to Unity Catalog managed table from external table is in Public Preview
Uses ALTER TABLE SET MANAGED command. Requires participating customer status.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Databricks Jobs is now Lakeflow Jobs
No migration is required.
- Databricks SQL Serverless engine upgrades
Upgrades bring up to 25% lower latency and add Predictive Query Execution and Photon vectorized shuffle.
- DLT is now Spark Declarative Pipelines on Lakeflow
No migration is required.
- Foreign Apache Iceberg tables are in Public Preview
Supports reading Iceberg tables from HMS, Glue, and Snowflake Horizon Catalog. Requires Lakehouse Federation.
- Lakebase, a managed PostgreSQL OLTP database, is in Public Preview
Provides PostgreSQL-compatible storage and compute for transactional workloads.
- Managed Apache Iceberg tables are in Public Preview
Supports read and write from Databricks or external Iceberg engines. Integrates with predictive optimization.
- Microsoft SharePoint connector (Beta)
ingests SharePoint data into Databricks via API-based pipeline creation.
- Monitor and revoke personal access tokens in your account (GA)
Account admins can monitor and revoke PATs in the account console, replacing manual tracking methods, and OAuth tokens are recommended instead.
- Deployment jobs (Public Preview)
Automates tasks for new model versions, integrating with Unity Catalog models and Lakeflow Jobs.
- MLflow 3.0 is generally available
Delivers state-of-the-art experiment tracking and performance evaluation for machine learning models.
- Model Context Protocol (MCP) for AI agents is in Beta
Lets AI agents access tools and data via a consistent interface. Supports Databricks-hosted or custom servers.
- Serverless performance targets is now GA
Enables faster startup and execution time when performance optimized setting is used.
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- Azure Databricks connector in Microsoft Power Platform is in Public Preview
Enables building canvas apps and flows with Databricks data. Requires an Azure Databricks connection.
- Configure PrivateLink connections from serverless compute to S3 Storage buckets (Public Preview)
Enables private connectivity to S3 from serverless compute, requires AWS setup.
- Cross-platform view sharing is now GA
Replaces manual data sharing methods, updates billing and access controls. Adds system table to track shared data history.
- Manage network policies for serverless egress control (Generally Available)
Configures outbound access for serverless workloads, including SQL warehouses and model serving endpoints.
- Tag policies is in Beta
Enforces consistent tagging across data assets, defining allowed keys and values. Managed at account level.