Databricks releases, every cloud
- Anthropic Claude Fable 5 now available as a Databricks-hosted model
Requires pay-per-token Foundation Model APIs.
- Reorganized Spark Declarative Pipelines on Lakeflow documentation
Conceptual topics are now under Concepts.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - AI Search supports selected text columns, sorting, and aggregations (Beta)
Supports keyword matching in selected columns, sorting by indexed columns, and aggregate counts.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Agent Bricks Supervisor Agent now supports web search as a built-in tool
Returns synthesized answers with source citations, also available as databricks_web_search tool in Supervisor API.
- Full page Genie Code (Beta)
Runs multiple threads in parallel, personalizes with skills and servers.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Anthropic Claude Opus 4.8 now available as a Databricks-hosted model
Access via Foundation Model APIs, pay-per-token.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Removed legacy Assistant slash commands
/settings and /rename are replaced by notebook UI settings and rename options.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Agent Bricks Supervisor Agent now supports nesting supervisor agents as subagent tools
Enables nested multi-agent orchestration by adding Supervisor Agents as subagent tools.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Google Gemini 3.5 Flash now available as a Databricks-hosted model
Accessible via Foundation Model APIs, requires compliance with applicable terms.
- Agent Bricks Supervisor Agent now supports Unity Catalog tables as subagent tools
Adds Unity Catalog tables as subagent tools, usable in coordinated multi-agent systems.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Agent Bricks Supervisor Agent now supports vector search indexes as subagent tools
Adds support for vector search indexes as subagent tools, usable in coordinated multi-agent systems.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Share Genie Code chat threads
Recipients get read-only access, can be users, groups, or service principals.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Agent Bricks Supervisor Agent now supports custom MCP servers and custom agents on Databricks Apps
Adds support for custom MCP servers and custom agents hosted in Databricks Apps as subagents.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Manage Supervisor Agent programmatically with the Databricks SDK (Beta)
Creates and manages Supervisor Agent and tools via Python SDK. Requires Databricks SDK for Python.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - OpenAI GPT-5.5 and GPT-5.5 Pro now available as Databricks-hosted models
Access via Foundation Model APIs on a pay-per-token basis, requiring compliance with applicable terms.
- CPU_MEDIUM and CPU_LARGE workload types for Model Serving (Beta)
Trade concurrency for more memory per worker on same CPU hardware, for models needing more memory than standard CPU workload.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Supervisor API for building agents (Beta)
Replaces multiple API calls with a single call to build agents.
- Anthropic Claude Opus 4.7 now available as a Databricks-hosted model
Accessible via Foundation Model APIs, supports pay-per-token queries.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- AI Gateway now governs MCP servers (Beta)
Enforces access control and monitors usage across MCP interactions, replacing prior governance methods.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - ai_prep_search (Beta)
Transforms ai_parse_document output into search-ready chunks for vector search and RAG pipelines.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Marketplace listing creation wizard
Guides setup of general info, data assets, and attributes in separate steps.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Agent Bricks Knowledge Assistant and Supervisor Agent are now available in additional regions
Available in ap-south-1 region, requires cross-geo processing.
- Agent Bricks Knowledge Assistant and Supervisor Agent are now available on GCP
Available in 6 GCP regions, requiring cross-geo processing in europe-west3 and asia-southeast1.
- Databricks Documentation site table of contents tabs
Replaces static sidebar with tabbed navigation, includes 6 context tabs.
- Agent Bricks now covers all Databricks AI capabilities
Covers declarative agents and all other Databricks AI capabilities.
- Supervisor Agent supports long-running tasks
Supports tasks that exceed 2-minute timeout, using task continuation.
- OpenAI GPT-5.4 mini and GPT-5.4 nano now available as Databricks-hosted models
Access via Foundation Model APIs pay-per-token, requires compliance with OpenAI's Acceptable Use Policy.
- Google Gemini 3.1 Flash Lite now available as a Databricks-hosted model
Access via Foundation Model APIs or AI Functions, supporting pay-per-token and batch inference workloads.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - OpenAI GPT-5.4 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis, requires compliance with OpenAI's Acceptable Use Policy.
- Supervisor Agent is now available in additional regions
Now available in 9 more regions, see list of supported regions for details.
- Managed OAuth flows for external MCP servers
Eliminates need to register own OAuth app, supports Glean, GitHub, Google Drive, and SharePoint APIs.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - OpenAI GPT-5.3 Codex now available as a Databricks-hosted model
Available via Foundation Model APIs pay-per-token, requiring compliance with OpenAI's Acceptable Use Policy.
- Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- Google Gemini 3.1 Pro Preview now available as a Databricks-hosted model
Access via Foundation Model APIs, AI Functions for batch inference.
- Anthropic Claude Sonnet 4.6 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
- Anthropic Claude Opus 4.6 now available as a Databricks-hosted model
Accessible via Foundation Model APIs, supports pay-per-token and query reasoning and vision models.
- OpenAI GPT-5.2 Codex now available as a Databricks-hosted model
Excels at code generation and refactoring tasks. Accessible via Foundation Model APIs pay-per-token.
- OpenAI GPT-5.2 Codex now available as a Databricks-hosted model
Excels at code generation and debugging tasks, accessed via Foundation Model APIs pay-per-token.
- Knowledge Assistant is now available in more regions
Available in us-east-2, ca-central-1, eu-central-1, eu-west-1, ap-southeast-1, and ap-southeast-2. Requires cross-geo processing in ap-southeast-1 and ap-southeast-2.
- OpenAI GPT-5.1 Codex Max and Codex Mini now available as Databricks-hosted models
Access via Foundation Model APIs pay-per-token, subject to OpenAI's Acceptable Use Policy.
Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.