Releasesby GlyphAI Function tasks for jobs (Beta)
Databricks jobs now support AI Function tasks for parsing, extracting, or classifying files and table rows without writing SQL, currently in beta.
Also shipped Nov 4, 2026Databricks in November 2026 →
[Launched] Generally Available: Azure Database for PostgreSQL stable REST API version 2026-10-01
The Azure Database for PostgreSQL Flexible Server REST API version 2026-10-01 is now generally available, introducing new capabilities for maintenance, immutable backups, and encryption.
Analytics API (Public preview): report on the health of the data behind your agents, from your AI tool
The Monte Carlo Analytics API is now in public preview, allowing users to query data health, alert status, and cost metrics directly from AI tools via the Monte Carlo MCP server.
Twice the included embedding tokens through December 31
Pinecone is doubling the included monthly embedding tokens for Starter and Builder organizations through December 31, 2026.
Gemini Enterprise: Switch between teams in the mobile app
The Gemini Enterprise mobile app now supports switching between multiple teams without re-authentication, and allows renaming or removing teams from the list.
Compare AI agent changes with Online Experiments in Agent Observability
Datadog Online Experiments allows engineers to test AI agent changes against production traffic. It enables comparison of response quality, cost, latency, and error rates.
Postmortems End of Life Completed
The Postmortems feature has been retired in favor of the upgraded Post-Incident Reviews in the PagerDuty web UI.
More from LakeflowEvery Lakeflow release →
Okta connector is available in Beta
The managed Okta connector is now available in Beta in Databricks Lakeflow Connect. Workspace admins can enable Lakeflow Connect for Okta on the Previews page . Use the connector to ingest identity and access data from Okta into Databricks, including users, groups, group memberships, app integrations, devices, policies, and administrator roles.
Trigger Lakeflow Jobs when upstream jobs complete (Beta)
You can now run a Lakeflow Job when one or more upstream jobs complete, including across workspaces attached to the same Unity Catalog metastore. Configure dependencies on the downstream job. See Trigger jobs when upstream jobs complete .
Start Lakeflow Designer workflows from suggested or recent tables
Start a visual data prep in Lakeflow Designer from suggested, favorite, or recently used tables on the welcome screen. See Browse existing tables .
Write Lakeflow Designer results to Google Drive or SharePoint
Write Lakeflow Designer results to Google Drive or SharePoint with the Output operator. Each run creates or replaces a file of up to 2.75 MiB. See Output .
Set checkpoints across a Lakeflow Designer file
Set checkpoint options across a visual data prep file with Set all to Auto or Set all to On . See Configure operator checkpoints .
Zerobus Ingest into default storage is now generally available
Ingesting into tables backed by default storage with Zerobus Ingest in Lakeflow Connect is now generally available. See Create or identify the target table .
New jobs compute will soon default to Auto access mode for workspaces with the compliance security profile enabled
New jobs compute in Databricks will default to Auto access mode. This mode uses Standard access mode unless specific requirements like GPU instances or older runtimes are met.
New jobs compute defaults to Auto access mode
Databricks updated the default access mode for new jobs compute in the UI to Auto. This change automatically selects Standard access mode unless specific runtime or hardware configurations are required.