Snowflake Data Clean Rooms updates
Update2 days agoUnverifiedAdded Oct 23, 2026
The following updates are now available in Snowflake Data Clean Rooms:
More Snowflake releases
Every Snowflake releaseCustom runtime images for ML Jobs (General availability)
Custom runtime images for ML Jobs are now generally available. You can build, validate, and register your own custom container images as Custom Runtime Environments (CREs), and then reference them when you submit ML Jobs on Container Runtime by using the runtime_environment="cre@<name>" format.
Quiesce a primary failover group (General availability)
Read-only mode for primary failover groups is now generally available.
Declarative Feature Store (General availability)
The Declarative Feature Store workflow is now generally available. Define your feature store resources (entities, data sources, feature views, and feature groups) as version-controlled YAML or Python specs, then preview and deploy them with the snow feature CLI using a plan-and-apply workflow.
Online Feature Store (General availability)
Online Feature Store is now generally available and is no longer in Preview .
dbt Projects on Snowflake updates
The following improvements are now available for dbt Projects on Snowflake:
Sensitive Data Entitlement and Access reports (General availability)
With this release, the following Trust Center reports are generally available. These reports require Enterprise Edition or higher .
Recompact Iceberg table data after target file size increases
When you increase TARGET_FILE_SIZE on a Snowflake-managed Iceberg table, data compaction recompacts older files that were written under the smaller target and compacts new files using the larger setting. For example, if files were compacted at 16 MB and the new target file size is 128 MB, data compaction recompacts older files from 16 MB to 128 MB.
Schema variables (General availability)
With this release, we're pleased to announce the general availability of schema variables.
Also shipped on Oct 22, 2026
Snowflake in October 2026Trace and evaluate Cursor agents with Langfuse, powered by ClickHouse
Users can now connect Cursor to Langfuse to trace agent turns and analyze model and tool calls, with ClickHouse providing the underlying analytics infrastructure.
The AI.TRANSLATE function lets you translate text strings between languages
The AI.TRANSLATE function lets you translate text strings between languages. AI.TRANSLATE supports standard Neural Machine Translation (NMT) workloads and Translation LLM (TLLM) capabilities. This function is generally available (GA).
Replit Monitoring Agent: Your very own software engineering team
Replit Monitoring Agent is an autonomous tool that investigates production alerts, identifies causes, applies fixes, and deploys them to production for internal apps.
Microsoft Entra ID connector is available in Beta
The managed Microsoft Entra ID connector is now available in Beta in Databricks Lakeflow Connect. Use the connector to ingest Microsoft Entra ID users, groups, applications, service principals, directory roles, identity configuration, and audit and sign-in logs into Databricks.
You can configure Direct VPC ingress for Cloud Run instances ( Preview )
You can configure Direct VPC ingress for Cloud Run instances ( Preview ). Direct VPC ingress lets Cloud Run instances on a VPC network use their own ephemeral private IP address to communicate with each other and with other resources on the VPC network.
Gemini Enterprise: Single-user quota limits
Gemini Enterprise administrators can configure single-user quota limits on the Usage & Spending > Usage page in the Google Cloud console to prevent an individual user from using all of an edition's shared subscription quota pool.