Databricks releases, every cloud
- Data Classification now scans Unity Catalog views (Beta)
Scans Unity Catalog views in addition to tables, using the same detection engine, and is currently in Beta.
- Custom trace views in the MLflow trace explorer are in Beta
Genie generates views based on plain language descriptions, surfacing relevant trace fields and metrics.
- MLflow trace storage in Unity Catalog is now generally available
Stores traces in OpenTelemetry format with unlimited storage and SQL query access.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Data Classification is now available by default for additional compliance standards
Requires compliance security profile with C5, TISAX, or IRAP controls.
- Solution Accelerators in Databricks Marketplace are now published as apps or notebooks
They are now categorized as apps or notebooks, with unchanged content.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Install third-party apps from Databricks Marketplace
Installs apps directly in Unity Catalog-governed workspaces, keeping provider code closed-source.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Use Universal Commits to purchase Marketplace partner products
Up to 10% of Universal Commits can be used for third-party products.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Customer-managed keys now support MLflow managed evaluation features
Supports MLflow 3 scorers and requires non-CMK encrypted catalog.
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) - 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) - Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon
Deletes now retain associated tables by default, set cascade=true to remove them.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Marketplace listing creation wizard
Guides setup of general info, data assets, and attributes in separate steps.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- Store and query MLflow traces in Unity Catalog (Beta)
Stores MLflow traces in Delta tables for long-term retention and analysis using OpenTelemetry format.
- List MCP servers in Databricks Marketplace (Public Preview)
Lets users install MCP servers to connect AI agents to external data sources.
- Data Classification (Public Preview)
Supports all catalog types, consolidates results into a system table.
- Data classification system table Beta
Captures sensitive data detections at column level across enabled catalogs.
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