Databricks releases, every cloud
- 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.
- Endpoint telemetry for custom model serving endpoints is generally available
Persists OpenTelemetry logs, traces, and metrics to Unity Catalog tables.
- Foundation model Unity Catalog permissions is generally available
Requires account team enablement, controls access to system.ai schema.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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, and every item links to the note it came from. The one-line summaries are ours.