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Snowflake Data Clean Rooms updates

Update2 days agoUnverifiedAdded Oct 23, 2026

The following updates are now available in Snowflake Data Clean Rooms:

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GAunverified

Custom 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.

GAunverified

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.

Updateunverified

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.

Also shipped on Oct 22, 2026

Snowflake in October 2026