Releasesby GlyphSemantic view materializations (General availability)
Semantic view materializations are now generally available and are no longer in Preview . With materializations, you can pre-aggregate frequently queried dimensions and metrics in a semantic view to improve query performance.
Also shipped Nov 11, 2026Snowflake in November 2026 →
Web search in apps
Retool added native web search capabilities to the app builder Chat tab and app functions, enabling agent applications to query live web data via a managed Tavily account.
Eval datasets, curated by Bayes from your agents' real conversations
Monte Carlo introduced automated evaluation dataset generation by Bayes, creating Golden and Improvement datasets from an agent's scored conversations across intent and issue clusters.
Pages are generally available
Databricks announced the general availability of Pages in Unity Catalog, providing governed definitions of business concepts organized by domain on the Discover page.
BigQuery project caps are generally available
Project caps, also known as scheduling policies, are now generally available for BigQuery Enterprise and Enterprise Plus editions. This feature allows users to limit maximum slots and concurrency per project within a reservation.
BigQuery reservation assignments support principal routing
BigQuery now allows specifying a principal property on reservation assignments to route queries to specific reservations based on the identity of the user or service account. This feature is generally available for Enterprise and Enterprise Plus editions.
BigQuery JSON_FLATTEN function is generally available
The JSON_FLATTEN function is now generally available. It extracts non-array values from JSON inputs, including those nested within consecutive arrays.
More from Snowflake Cortex AIEvery Snowflake Cortex AI release →
AI_EXTRACT and AI_PARSE_DOCUMENT now support page filtering with FL_FILTER_PAGES
Snowflake's AI_EXTRACT and AI_PARSE_DOCUMENT functions now support the FL_FILTER_PAGES parameter, allowing users to process specific document pages directly within SQL.
Many-to-many relationships in semantic views (Preview)
Many-to-many relationships are now in preview for semantic views. You can model a many-to-many relationship between two logical tables in either of the following ways:
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 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.
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.
Level 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:
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.