Databricks releases, every cloud
- Anthropic Claude Opus 5 now available as a Databricks-hosted model
Access via Foundation Model APIs, pay-per-token.
- Priority pay-per-token for Foundation Model APIs
Priority mode is for latency-sensitive applications, requiring partner or open source models.
- ai_extract and ai_classify are now available by default for workspaces with the compliance security profile enabled
Replaces manual text extraction and classification workflows, requires compliance security profile.
- Data Classification is now available by default for additional compliance standards
Requires compliance security profile with C5, TISAX, or IRAP controls.
- Databricks SQL alerts are now available by default for workspaces with the compliance security profile enabled
Supports all compliance security profile standards, monitors data and KPIs via scheduled queries.
- Anthropic Claude Sonnet 4 is scheduled for retirement
Replaced by Claude Sonnet 4.6, retiring October 9, 2026.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Zhipu AI GLM 5.2 now available as a Databricks-hosted model
Supports 1 million token context window and long-horizon reasoning. Accessed via Foundation Model APIs.
AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP, read it on their docs - Excel file format support is now available by default
Supports .xls, .xlsx, and .xlsm files without external libraries.
- Budgets are now generally available
Define spending thresholds with optional per-user overrides and actions like email alerts.
- Anthropic Claude Sonnet 5 now available as a Databricks-hosted model
Accessible via Foundation Model APIs, requiring compliance with applicable terms.
- 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.
- ai_query is now generally available
Lets you query AI models from SQL or Python.
- Faster inference tables for custom model serving endpoints
Ingests through endpoint telemetry, with configurable sampling, and requires AI Gateway setup.
- 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.
- Anthropic Claude Fable 5 now available as a Databricks-hosted model
Requires pay-per-token Foundation Model APIs.
- Foundation model Unity Catalog permissions is generally available
Requires account team enablement, controls access to system.ai schema.
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- Anthropic Claude Opus 4.8 now available as a Databricks-hosted model
Access via Foundation Model APIs, pay-per-token.
- Fixed LOD expression syntax update for metric views
Uses SQL window functions, replacing two-step pre-computation approach.
- Databricks SQL alerts are now generally available
Monitors data and KPIs by running scheduled queries, notifying recipients when conditions are met.
- ai_parse_document is now available by default for workspaces with the compliance security profile enabled
Requires compliance security profile and specific controls like HIPAA and PCI-DSS. Parses structured content from unstructured documents.
- Search in metric views fix
Now returns correct results across paginated results and supports filtering by display name.
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.