Databricks releases, every cloud
- 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.
- Governance Hub is in Beta
Enables monitoring of data health and AI usage, requires account admin enablement from Previews page.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Managed disaster recovery is now in Public Preview
Replicates metadata, table data, and workspace assets to a secondary region. Requires account team enablement.
- Mission Critical add-on is now in Public Preview
Unlocks managed disaster recovery and ESC for a single compute rate, enabled per workspace.
- 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) - List MCP servers in Azure Databricks Marketplace (Public Preview)
Allows distribution of AI tools and connection to external data sources, requires provider listing.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- List MCP servers in Databricks Marketplace (Public Preview)
Lets users install MCP servers to connect AI agents to external data sources.
- Admins can now manage a workspace's serverless base environments (Public Preview)
Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.