Databricks releases, every cloud
- Email notifications for expiring service principal tokens are now generally available
Sends emails to workspace admins 7 days before token expiration for used tokens with lifetime over 7 days. No configuration is required.
- Context-based ingress control for workspaces public access is now generally available
Uses allow and deny rules to control access based on identities, network sources, and request types.
- Budgets are now generally available
Define spending thresholds with optional per-user overrides and actions like email alerts.
- ai_query is now generally available
Lets you query AI models from SQL or Python.
- ai_classify is now generally available
Classifies text content according to custom labels with support for multi-label classification.
- ai_extract is now generally available
Extracts structured data from text and documents according to a provided schema. Supports nested objects and arrays.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Endpoint telemetry for custom model serving endpoints is generally available
Persists OpenTelemetry logs, traces, and metrics to Unity Catalog tables.
- Inbound Private Link for performance-intensive services is now generally available
Supports Lakebase Autoscaling and Zerobus Ingest.
- Foundation model Unity Catalog permissions is generally available
Requires account team enablement, controls access to system.ai schema.
- Automatic identity management with Microsoft Entra ID is now GA
Replaces SCIM provisioning, syncs users and groups from Microsoft Entra ID.
AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP, read it on their docs - Databricks SQL alerts are now generally available
Monitors data and KPIs by running scheduled queries, notifying recipients when conditions are met.
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.