Databricks releases, every cloud
- Unity Gateway support for compliance security profile standards
Enabled by default for workspaces with compliance security profile. Supports all Databricks compliance standards.
- DeepSeek V4.1 Flash is now available on Unity Gateway
Supports text and image inputs, accessible via Foundation Model APIs.
- OpenAI GPT-6 Astra is now available on Unity Gateway
Available for enterprise workloads via pay-per-token Foundation Model APIs.
- Monitor and cap external provider costs
Tracks and caps spend on Amazon Bedrock and Azure AI Foundry models. Requires enabling External Model Spend in Budgets on the account console.
- xAI Grok 4.6 is now available on Unity Gateway
Access through governed API, switch models without changing code.
- Zhipu AI GLM 5.3 Flash is now available on Unity Gateway
Access through the same governed API, with centralized permissions and no code changes required.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Unity Gateway now supports Provisioned Throughput
Adds access controls and usage tracking to Provisioned Throughput models.
- Monitor all AI activity with the unified trace table (Beta)
Captures requests and responses in OpenTelemetry format.
- DeepSeek V4 Pro (0813) is now available on Unity Gateway
Access through the same governed API as other models, with centralized permissions and controls. Switch models without changing application code.
- Block or redact sensitive data in requests and responses
Detects SSNs, credit cards, and phone numbers using regex and checksums. Requires Enhanced Unity Gateway preview.
- Google Gemini 3.7 Flash is now available on Unity Gateway
Access through the same governed API as other models, with no application code changes required.
- Smart Routing: Cut AI costs by routing each task to the right model
Works with Claude Code and Codex via Unity Gateway CLI or Omnigent. Cuts task cost by over 30%.
- ABAC GRANT policies now cover Unity Gateway resource types (Beta)
Supports model services, model provider services, MCP services, and agent services, allowing tag-based access.
- DeepSeek V4 Flash (0731) is now available on Unity Gateway
Access through the same governed API as other models, with centralized permissions and controls.
- Databricks-managed MCP connectors are now integrated with Unity Gateway (Beta)
Requires reauthentication to continue using with Genie One and Genie Code.
- Moonshot AI Kimi K3 is now available on Unity Gateway
Access through the same governed API as other models, with centralized permissions and controls. Supports native vision.
- Unity Gateway API: Manage resources with SDKs, the CLI, and Terraform
Manages endpoints, model providers, and MCP servers. Requires SDKs 0.125.0 and later or CLI v1.11.0 and later.
- Use Unity Gateway with your own Claude enterprise subscription
Routes Claude code through Unity Gateway using existing subscriptions. No credentials are stored.
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- Connect and govern any external model provider
Registers as a Unity Catalog securable, allowing queries through Unity Gateway with governance and observability.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Custom Docker images for AI Runtime CLI workloads (Beta)
Allows custom system library versions and complex dependencies, requires setup via Use custom Docker images.
- AI Runtime CLI (Beta)
Submits and manages distributed training workloads on serverless GPU compute from a local machine.
- Genie Code now supports auto-approve for tool actions
Approves tool actions without prompts, using an AI classifier to block risky ones.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Serve custom LLMs with Custom Model Serving (Beta)
Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.
- AI Runtime 1xH100 accelerator (Beta)
Supports 1xH100 accelerator, see Hardware options for details.
- Workspace skills for Genie Code are now available
Workspace admins can create shared skills for machine learning pipelines and domain-specific processes.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Assistant is now Genie Code
Adds autonomous multi-step data tasks, replaces Databricks Assistant.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Declarative Feature Engineering APIs (Beta)
Define time-windowed aggregation features from data sources, materialize to Delta tables or Lakebase. Available in us-east-1 and us-west-2 regions.
- Endpoint telemetry for custom model serving endpoints (Beta)
Stores logs, traces, and metrics in Unity Catalog Delta tables using OpenTelemetry.
- Connect Databricks Assistant to MCP servers
Connects to external tools and data sources through MCP servers, requiring permission to use added servers.
- Partner-powered AI features are now supported in the Canada, Brazil, and United Kingdom Azure Geographies
Uses models hosted in the same Azure Geography as the workspace, requires cross-geo processing for some features.
- Create skills for Databricks Assistant
Extends Databricks Assistant with domain-specific tasks, following the open Agent Skills standard.
- Databricks Assistant Agent mode can now use models served through Anthropic on Databricks
Requires partner-powered AI features to be enabled. Uses endpoints hosted by Databricks.
- The Data Science Agent can now also use models served through Anthropic on Databricks
Uses models served through Anthropic when partner-powered AI features are enabled. Requires partner-powered AI features to be enabled.
- Notebook improvements
Cell execution minimap appears in right margin, supports up to 100MB notebooks.
- Databricks Assistant integrated with compute
Creates compute resources, pools, and policies, and answers questions about them. Available on some compute pages.
- Databricks-hosted models for Assistant are now GA
Available on all cloud platforms at no extra cost.
- Databricks Assistant: User and workspace instructions now available
Custom instructions can be added by users or admins, applying to all Assistant experiences.
- Edit mode in Assistant does multi-cell code refactoring and more
Performs reasoning and editing across multiple cells without manual intervention.
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.