Releasesby GlyphAdaptive refresh mode for dynamic tables (General availability)
ADAPTIVE refresh mode for dynamic tables is now generally available. ADAPTIVE refresh uses incremental refresh by default but automatically reinitializes the dynamic table when internal heuristics detect that the volume of upstream changes makes an incremental refresh significantly more expensive than a full refresh.
Also shipped Jul 30, 2026Snowflake in July 2026 →
You can add tables, views, data sources, and data quality tests as tasks to BigQuery pipelines
You can add tables, views, data sources, and data quality tests as tasks to BigQuery pipelines. For more information, see Add a pipeline task . This feature is generally available .
You can audit when users download query results by using the BigQuery console
You can audit when users download query results by using the BigQuery console. Data Access audit logs for the tabledata.list method now include a uiDownloadRequest field to indicate whether the request was triggered by a UI download. This feature is generally available (GA).
Genie Agents enhancements and bug fixes
- Chat sharing : Sharing an individual Genie Agent conversation is now generally available. See Share a conversation . Download visualizations on Private Link (Beta) : You can now download visualization results through the Genie Conversation API on Private Link workspaces in supported regions. See the Conversation API reference .
More from SnowflakeEvery Snowflake release →
Snowflake Data Clean Rooms updates
Clean room UI users: New updates are applied to the UI automatically when a user starts a new session after a new update is deployed. To ensure new updates are applied, make sure to log out and log back into the UI. Clean room API users: API updates are applied either manually or automatically to an account. Learn how to manage updates for Data Clean Rooms.
Compute monitoring and run observability for Notebooks in Workspaces
With this release, Snowflake Notebooks in Workspaces gives you more visibility and control over the compute that runs your notebooks, both while you develop interactively and when you troubleshoot scheduled runs.
Data quality monitoring dashboard (Public preview)
The data quality monitoring dashboard is now available in public preview for Enterprise Edition accounts. The dashboard provides an account-wide view of data quality health in Snowsight.
Multiple host names for private connectivity endpoints on Microsoft Azure
You can now register more than one host name on an existing private connectivity endpoint using the new SYSTEM$ADD_PRIVATELINK_ENDPOINT_HOSTNAME and SYSTEM$REMOVE_PRIVATELINK_ENDPOINT_HOSTNAME functions.
AI code suggestions in Workspaces (General availability)
AI code suggestions in Cortex Code are now generally available. This release also includes updated keybindings and bug fixes. Notebook Python cells , no changes to keybindings.
Custom incremental dynamic tables (General availability)
Custom incremental dynamic tables are now generally available. For more information, see Custom incrementalization .
New agent_type column in QUERY_HISTORY views
The QUERY_HISTORY views and table functions now include a new agent_type column that identifies the type of agent that directly invoked a query. This column helps you audit and monitor agent-initiated queries across your account. Possible values for the agent_type column: The column is NULL if the query wasn’t invoked by an agent.
ACCESS_HISTORY view: New agents_info column
Starting with release 10.27, the ACCESS_HISTORY view (Account Usage) and ACCESS_HISTORY view (Organization Usage) include an agents_info column that provides detailed information about agents that accessed data on behalf of a user. The agents_info column is an ordered JSON array of invoking agents, from the nearest agent to the top-level agent.