Releasesby GlyphNon-deterministic aggregate functions are supported with dynamic table incremental refresh (General availability)
Non-deterministic aggregate functions such as approx count distinct , approx percentile , and approx top k are now supported with dynamic table incremental refresh in INCREMENTAL, AUTO, and ADAPTIVE refresh modes. For incremental refresh, these functions are supported only in the SELECT clause. any value remains unsupported.
Also shipped Sep 23, 2026Snowflake in September 2026 →
New features and improvements in Copilot for JetBrains
GitHub Copilot for JetBrains 1.18.0 brings AI-assisted tool approvals, more control over agent conversations, and shared skills and instructions for your organization. You can also review plans with the Codex agent and manage MCP tools with persistent controls.
Scalar and Batch Unity Catalog Python UDFs are now generally available
Scalar and Batch Unity Catalog Python UDFs are now generally available on all supported compute types. This release adds named handlers for row-at-a-time scalar UDFs, removes the five-UDF-call-per-query limit, and aligns scalar TIMESTAMP inputs with PySpark behavior.
Build governed data and AI apps without code (Beta)
You can now build governed data and AI apps without code. Genie App Builder authors apps in natural language, App Spaces enforce governance, and Serverless Micro Apps scale to zero when idle. See Governed agentic app building .
More ways to request and configure Copilot code reviews
GitHub Copilot code review now offers additional personal configurations to an expanded set of Copilot plans and an enterprise-level default setting. These improvements are now generally available: A dedicated personal settings page for automatic review and your default review effort An enterprise-wide default review effort setting for organization-owned...
Node 20 is no longer available in GitHub Actions
This is the final notification that Node 20 is no longer available on GitHub Actions runners. Runners now use Node 24 for JavaScript actions. The temporary ACTIONS_ALLOW_USE_UNSECURE_NODE_VERSION opt-out is no longer available. If you maintain a JavaScript action, update its runs.using value to node24 and publish a new release as soon as possible.
Unlimited Vercel Blob stores on every plan
You can now create as many Vercel Blob stores as you need. The previous limits of 100 stores on Hobby, 500 on Pro, and 1,000 on Enterprise no longer apply. Blob store creation is now billed alongside other Blob Advanced Operations , including put() , copy() , and list() calls. On Pro that's $5.00 per million.
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DCM Projects capability updates
This release updates the availability of several DCM Projects capabilities. The following capabilities are now generally available: The following capabilities are now available in preview:
Snowflake Data Clean Rooms updates
The following updates are now available in Snowflake Data Clean Rooms:
CHECK constraints on hybrid tables (General availability)
With this release, hybrid tables support CHECK constraints . Previously, CHECK constraints were limited to standard tables and Snowflake-managed Iceberg tables, so a hybrid table workload had to enforce value-level rules in application code.
Snowpipe Streaming: Event table monitoring
You can now monitor Snowpipe Streaming ingestion with event tables to check that data is arriving, identify processing delays, and investigate failures across your pipelines. Query ingestion events with SQL to track row counts, server-side latency, row and channel errors, and channel activity. Use these records to build dashboards and configure alerts.
Snowpipe Streaming: Partitioned Apache Iceberg™ tables (General availability)
With this release, we're pleased to announce the general availability of Snowpipe Streaming support for partitioned Snowflake-managed Iceberg tables. You can now ingest data into both partitioned and non-partitioned Snowflake-managed Iceberg tables, including Iceberg v2 and Iceberg v3 tables.
VALUES clause is supported with dynamic table incremental refresh (General availability)
The VALUES clause is now supported with dynamic table incremental refresh in INCREMENTAL, AUTO, and ADAPTIVE refresh modes. You can use VALUES in the FROM clause to supply a constant set of rows, for example as a small lookup table that you join to a base table.
Improved data freshness for selected ORGANIZATION_USAGE history views
With this release, Snowflake has improved data freshness for the following premium views in the ORGANIZATION_USAGE schema. Typical data latency for these views is now under 15 minutes:
OpenAI GPT-5.6 and GPT-6 Astra models (General availability)
The following OpenAI models are now generally available in Cortex Inference: