Releasesby GlyphLevel of detail (LOD) expressions in semantic views (Preview)
Level of detail (LOD) expressions are now in preview for semantic views. An LOD expression calculates a value at a grain that's different from the query grain. You can use LOD expressions to:
Also shipped Nov 2, 2026Snowflake in November 2026 →
Managed warehouse for MLflow (Beta)
Managed warehouse for MLflow is available in Beta, enabling users to view Unity Catalog traces in the MLflow UI without manually choosing a SQL warehouse.
Check out GitHub code without long-lived credentials on self-hosted agents
Self-hosted agents can now use temporary, read-only GitHub App tokens for repository checkout. This eliminates the need to distribute and rotate long-lived SSH keys or personal access tokens across your agent fleet.
Serving tuned Gemini 3.x models on global endpoints
Serving tuned Gemini 3.x models on global endpoints is available in General Availability (GA) . You can copy fine-tuned Gemini 3.x models to the global region using the Model Registry models:copy API, deploy them to global serving endpoints, and send inference requests directly to aiplatform.googleapis.com .
[Launched] Generally Available: Change from virtual network integration to a private endpoint capable network configuration in Azure Database for PostgreSQL flexible server
You now have greater flexibility in network design for Azure Database for PostgreSQL Flexible Server workloads. Now you can change existing VNet-integrated servers from delegated-subnet networking to a private endpoint-capable configuration, enabling secu
[Launched] Generally Available: Restart databases in Azure SQL DB via the Azure portal
You can now restart or fail over databases directly from the Azure portal, including single databases, Hyperscale databases, and databases in elastic pools, without writing scripts against the Rest API or contacting support. Learn more.
Store and recover user sessions with RUM Managed Archive
Datadog RUM Managed Archive allows users to store all ingested RUM sessions and recover them on demand for debugging, incident investigation, and audits.
More from Snowflake Cortex AIEvery Snowflake Cortex AI release →
AI_EXTRACT updates
AI_EXTRACT now delivers a 12.8% relative improvement in average extraction accuracy compared with the previous version in our evaluations. Extract fields, lists, and tables more accurately from complex documents, including forms, handwritten content, dense tables, and charts.
Cortex AI Gateway inference, observability, and cost management (General availability)
Inference, observability, and cost management for Cortex AI Gateway are now generally available. The gateway gives AI clients in your organization one governed endpoint to reach models, records a trace of every request, and attributes spend to the users who made it.
Background runs and additional supplementary tools for agents in the Snowflake-managed MCP server
Snowflake added a background boolean parameter to CORTEX_AGENT_RUN and CODING_AGENT tools in its managed MCP server to enable non-blocking, pollable agent executions.
Cortex Training (Preview)
Cortex Training is now available in preview, allowing users to customize open-weight LLMs using a serverless service within Snowflake.
Cortex Agents Coding Agent thinking effort, system instructions, and stage mounts
The Cortex Agents Coding Agent agent:run API now supports three additional public controls when using the code_toolset_all tool, providing more granular configuration for coding tasks.
Cortex AI usage in Native App usage history
Developers can now track Cortex AI credit usage, including agent tokens and search embeddings, attributed to Snowflake Native Apps using the APPLICATION_DAILY_USAGE_HISTORY view.
AI_PARSE_DOCUMENT introduces AGENTIC mode for intelligent document processing (Public Preview)
Snowflake Cortex AI_PARSE_DOCUMENT now includes an AGENTIC mode in public preview. This feature allows users to extract information from complex documents, including charts and diagrams, using a single SQL call.
OpenAI GPT-5.6 Luna, GPT-5.6 Terra, and GPT-6 Luna in AI Functions (Preview)
The following OpenAI models are now in public preview in AI Functions: