All release notes

Deep Research in Snowflake CoWork is now generally available. Deep Research is an investigation mode for complex, open-ended questions that require multi-step reasoning across your data. Instead of returning a single result, Snowflake CoWork decomposes the question into multiple sub-investigations, runs them in parallel across your structured and unstructured data, and synthesizes the findings into a structured report. Every claim in the report is traced back to its source data and queries, so you can verify the reasoning and share results with confidence.

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Snowflake Cortex AI_TRANSLATE now supports translation of up to 100,000 input tokens, enabling organizations to translate large documents and long-form text directly in Snowflake. Customers can now translate documents, lengthy transcripts, and conversation logs that previously exceeded the function's context limits without manually splitting text or building custom preprocessing pipelines.

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With this release, we are pleased to announce the general availability of domain verification.

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Snowflake now supports resource budgets to control credit spending for Cortex Search services. Resource budgets let you define a monthly spending limit and take automated actions, such as revoking access or suspending the service, when spending exceeds your limits.

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Snowflake Container Runtime CPU and GPU version 2.7 is now available. This release includes the following changes:

• Added support for ipywidgets in notebooks.
• The PyTorch backend now defaults to Ray Train. To opt out, set PYTORCH_USE_LEGACY_TRAINER=1. The legacy path will be removed in an upcoming release.
• TunerConfig now defaults resource_per_trial to {"CPU": 1} when uses_snowflake_trainer=True.

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The following new features and enhancements are now available in Snowflake Data Clean Rooms:

• Manage data offerings and templates in Snowsight - Public Preview: You can now browse, search, inspect, and create data offerings and templates directly in the Snowsight UI.
• Drop/Leave support for failed collaborations: Collaborations with a status of CREATE_FAILED, CREATE_TIMED_OUT, or JOIN_FAILED can now be dropped or left, in order to clean up collaborations in your account.
• New region availability: Snowflake Data Clean Rooms is now available in the following regions: GCP Melbourne, Azure US-East-1, AWS Thailand (Bangkok), AWS Malaysia (Kuala Lumpur), and AWS New Zealand (Auckland).

With this release, Snowflake supports the VARIANT data type on Iceberg tables created from Delta table files in object storage (Delta Direct).

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Snowflake is rolling out metadata-based sensitive data classification recommendations in Snowsight to help you identify databases that are likely to contain sensitive data and enable classification with one click.

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Snowflake can now act as the OpenID Connect (OIDC) provider when Snowflake workloads authenticate to external services. To use this capability, create a secret of type WORKLOAD_IDENTITY_FEDERATION and share its issuer URL and subject identifier with the external service to establish trust. When the workload needs to authenticate, call SYSTEM$ISSUE_WORKLOAD_IDENTITY_FEDERATION_TOKEN to obtain a short-lived ID token to send to the service.

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Analytical search, an orchestration capability in Cortex Agents that enables analytical queries over large document collections, is now in Public Preview.

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Snowflake now supports replication of dynamic Iceberg tables as part of replication and failover groups. Previously, dynamic Iceberg tables were skipped during replication refresh operations.

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You can now use a SQL query (rather than a physical table) as a logical table in a semantic view. This lets you define logical tables based on joins, transformations, or any SQL expression without creating a separate view first.

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You can now define variables in a semantic view to parameterize facts, dimensions, and metrics. Variables let you customize calculations at query time without changing the view definition.

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The following new features and enhancements are now available in Snowflake Data Clean Rooms:

• Edit Collaboration - Public Preview: The new Edit Collaboration API lets collaboration owners add or remove collaborators and change the roles of existing collaborators. Each requested change takes effect only after the affected collaborators approve it. This capability is available only for collaborations created after this update. For more details, see the API documentation.
• Improved API auto-upgrades: The retry mechanism for auto-upgrade is improved for better task efficiency. Please enable auto-upgrades to always be on latest version. Details here. Please remount if you are on version below 12.3. Learn more here.
• Updated details column for update requests: The details column payload returned by VIEW_UPDATE_REQUESTS has been updated for several update request types, with some fields removed or renamed for greater clarity and consistency. The following fields have been removed from the details payload:

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When defining a semantic view, you can now specify sample values and enum indicators in the create semantic view command.

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• Dynamic Tables supported on Delta Direct tables (General availability)
• Insert-only streams supported on Delta Direct tables (General availability)

The following new features and enhancements are now available in Snowflake Data Clean Rooms:

• ML Jobs in Data Clean Rooms — Generally Available: ML Jobs enables collaborators to run containerized machine learning workloads on a dedicated compute pool inside a Data Clean Room. Supported use cases include lookalike modeling, incrementality measurement, hyperparameter optimization, and distributed model training using the Snowflake distributed trainers for XGBoost, LightGBM, and PyTorch. ML Jobs are defined in a code spec and submitted through the standard template approval workflow.
• Unregister templates and data offerings: You can now remove a registered template or data offering from a registry by calling UNREGISTER_TEMPLATE or UNREGISTER_DATA_OFFERING, as long as the resource isn't currently linked to a collaboration.
• General performance improvements and bug fixes.

With this release, Python files in Workspaces is now generally available.

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Artifacts in Snowflake CoWork are now generally available. An artifact is a persistent, live reference to a chart or table from an agent response that you can revisit, refresh under your own credentials, and share with a teammate who sees the same artifact filtered through their own data permissions.

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With this release, Adaptive Compute is generally available on Amazon Web Services (AWS). You can create Adaptive Warehouses or convert existing standard warehouses to an Adaptive Warehouse without downtime.

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The ACCOUNT_USAGE schema now includes a new CORTEX_AI_GUARDRAILS_USAGE_HISTORY view that provides visibility into the usage history of Cortex AI Guardrails.

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• Data metric function (DMF) FILTER clause (General availability)

Support for Azure Data Lake Storage Gen2 (Azure Data Lake Storage) for Apache Iceberg™ tables is now generally available.

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With this preview release, Cortex Agent evaluations include two new system metrics that measure how your agent uses tools:

• Tool selection accuracy (TSA) – Whether the agent's orchestration layer invokes the tools you expect for a given query.
• Tool execution accuracy (TEA) – Whether each tool that runs receives appropriate input and returns output that meets your requirements.

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

• General performance improvements and bug fixes.
• Updates to private preview features.