Releasesby GlyphSnowflake Data Clean Rooms updates
The following updates are now available in Snowflake Data Clean Rooms:
Also shipped Sep 3, 2026Snowflake in September 2026 →
Conversational analytics now supports questions about market basket analysis
Conversational analytics now supports questions about market basket analysis . This feature is generally available (GA).
Share metric views with OpenSharing (Beta)
You can now share metric views with Databricks users in other metastores or accounts using OpenSharing. See Add metric views to a share and Read shared metric views .
Genie One enhancements
- Ask Genie button hidden when unsupported : In embedded dashboards, the Ask Genie button is now hidden when it isn't supported. See Ask Genie in embedded dashboards . Push notifications for scheduled tasks (Public Preview) : The Genie mobile app can now send push notifications for scheduled tasks to iOS devices. See Push notifications .
Web search in Genie One (Beta)
Genie One can now search the public web to answer questions that need current information, such as recent releases, third-party documentation, or news. Genie One decides when to search and cites the sources it uses, showing each as a link you can open. See Search the web .
Gemini Enterprise: Latency and error rate views for agents
To monitor operational telemetry for your agents, use the two new views on the Observability tab: Latency: Shows response times for your agents. This view displays p50 (median) and p95 (95th percentile) metrics for Time to First Token (TTFT), Time to First Answer (TTFA), and Time to Last Token (TTLT).
Gemini Enterprise: General availability of Workflow Builder (formerly Agent Designer)
Workflow Builder (formerly known as Agent Designer) is generally available (GA) in Gemini Enterprise. Workflow Builder enables users across your organization to build multi-step automated workflows to streamline tasks and connect to enterprise data.
More from SnowflakeEvery Snowflake release →
Prompt injection guardrails now available in AWS_EU, AWS_JP, and AWS_APJ
Prompt injection guardrails in Cortex AI Guardrails are now available when the CORTEX_ENABLED_CROSS_REGION account parameter is set to AWS_EU , AWS_JP , or AWS_APJ . Previously, prompt injection guardrails required ANY_REGION , AWS_US , or AWS_GLOBAL .
SAS to Snowflake migration (Preview)
The Snowflake AIM Agent for Data Warehouses now supports migrating SAS workloads to Snowflake. This capability covers AI-assisted assessment of SAS codebases and AI-based code conversion of SAS programs to Snowflake SQL, including loading SAS dataset files ( .sas7bdat ) into Snowflake tables.
Snowflake App Runtime (General availability)
Snowflake App Runtime is now generally available and is no longer in Preview .
Add and drop hybrid table constraints online (General availability)
With this release, you can add and drop UNIQUE and FOREIGN KEY constraints on an existing hybrid table by using alter table . Previously, you had to define these constraints when you created the table, so adding a foreign key to a table that was already serving a workload meant recreating and reloading the table.
Shadow traffic for gateways (Preview)
With this preview release, you can use a shadow traffic gateway to send all production requests to a primary service endpoint while mirroring a percentage of those requests to one or more shadow endpoints. Responses from shadow endpoints aren't returned to clients.
Using dbt artifacts for Slim CI and defer to production in dbt Projects on Snowflake (General availability)
Slim CI, defer to production, failed-execution recovery, and concurrent execution are now generally available for dbt Projects on Snowflake. Reuse dbt artifacts from recent production executions to accelerate development, streamline CI/CD workflows, and recover from failed production runs without maintaining a separate artifact store.
Snowflake Data Clean Rooms updates
The following updates are now available in Snowflake Data Clean Rooms:
External secret providers (Preview)
External secret providers are now in preview. If your organization already keeps API keys, database passwords, and similar values in AWS Secrets Manager, Azure Key Vault, or Google Cloud Secret Manager, Snowflake can read those values when a query needs them, so you don't have to maintain a second copy in a Snowflake secret .