Snowflake Releases
Snowflake blog and product updates. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 86 Snowflake releases · Updated
- Snowflake Blog blogaigovernancesnowflakeengineer ·
Snowflake Ventures invests in Jedify for enterprise AI context
Snowflake Ventures is investing in Jedify, an autonomous context graph for enterprise AI, to address challenges with data context and trustworthy answers in AI deployments. This partnership aims to provide AI agents with grounded business context by automating the creation and governance of semantic models on Snowflake. Jedify's Snowflake Native App is currently in private preview, with wider availability expected on Snowflake Marketplace.
announcement feature - Snowflake Blog blogaisnowflakeanalystfinance ·
Financial Services AI Adoption Accelerates with ROI and Agentic Focus
Financial services firms are rapidly moving from AI pilots to tangible business value, with 68% reporting quantifiable positive ROI from generative AI. Agentic AI is emerging as the next frontier, although governance will be key for safe scaling, with 30% of firms already using it in production. Proprietary data is now a foundation for competitive advantage, with 92% of firms training LLMs on their own data. AI is also showing a positive workforce impact, challenging notions of job elimination.
announcement - Snowflake Blog blogaisnowflakeengineerhealthcare ·
Snowflake Summit: AI Agents and CoWork for Healthcare
Snowflake announced new AI agent capabilities and updates to its CoWork AI companion at Snowflake Summit, focusing on transforming healthcare workflows. These advancements aim to move the industry from passive AI to proactive, governed intelligence, enabling personalized insights and automated tasks for knowledge workers. The new features, with many in public preview, are designed to address complex data challenges in regulated healthcare environments and support scalable enterprise AI execution.
feature announcement - Snowflake Blog blogdataaisnowflakeengineer ·
Snowflake Enhances AI Data Engineering with New Pipeline Capabilities
Snowflake has introduced new AI-powered features for data engineering, aiming to make pipeline creation more robust and efficient. These capabilities integrate AI directly into workflows, offering agentic assistance, autonomous pipelines, and improved declarative options for SQL and Python developers. The updates focus on reducing manual effort, accelerating time-to-production, and enhancing governance for all data engineers working within or across lakehouses and Snowflake.
feature announcement - Snowflake Blog blogdatasnowflakepreviewengineer ·
Snowflake Hybrid Tables See Major Performance and Cost Improvements
Snowflake has significantly boosted the performance of Hybrid Tables, offering up to 8x faster point lookups and 10x faster batch writes with 10x lower cost, based on internal benchmarks. These enhancements aim to consolidate transactional and analytical workloads, eliminating the need for separate OLTP databases and reducing complexity for AI applications and workflow state management. The improvements, which will be enabled by default for all Hybrid Tables workloads, also include the elimination of request credit billing, resulting in average cost reductions of 15%.
feature patch announcement - Snowflake Blog blogaisnowflakeengineer ·
Anthropic's Claude Fable 5 Available on Snowflake Cortex AI
Anthropic's latest model, Claude Fable 5, is now available in private preview on Snowflake Cortex AI. This Mythos-class model enhances capabilities for complex, long-running tasks, benefiting data engineers, analysts, and developers. It integrates with Snowflake CoCo, Cortex Agents, Cortex AI Functions, Cortex Inference, and Snowflake CoWork, all within Snowflake's security and governance perimeter.
feature announcement - Snowflake Blog blogdataaisnowflakeengineer ·
Snowflake CoCo AI agent gains Snowpark Python deployment skill
Snowflake introduced a new AI-powered skill for its CoCo coding agent, named snowpark-python, designed to streamline the deployment of Python pipelines to Snowflake. This feature aims to reduce the overhead of dependency management, configuration, and tool context-switching for data engineers, enabling them to deploy local Python code to production-scale workflows with a single prompt. The skill is available now within Snowsight, CLI, and IDE extensions, offering authoring, deployment, and observability assistance.
feature announcement - Snowflake Blog blogaisnowflakegaengineer ·
LGND AI Wins 2026 Snowflake Startup Challenge
LGND AI, a company creating Large Earth Models (LEMs) trained on planetary imagery, has won the 2026 Snowflake Startup Challenge. Their technology aims to make Earth observation data queryable by AI, enabling applications in insurance, government, and AI agents. LGND AI leverages Snowflake's platform, including Snowpipe, Dynamic Tables, and Cortex Search, to process vast amounts of geospatial data and build sophisticated AI applications for understanding the physical world. Runners-up Airrived and Twine Security were also recognized for their AI agent innovations.
announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake and OpenAI launch production-ready business-native AI
Snowflake and OpenAI have launched a production-ready integration, making frontier AI models available directly within Snowflake Cortex AI. This partnership aims to empower employees with AI that understands business context, securely and at scale, across AWS, Google Cloud, and Azure. The integration offers unified governance and leverages Snowflake's semantic layer for improved accuracy and reduced costs.
feature announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake: Accelerate AI Agents with Enterprise Security
Snowflake introduces enhanced enterprise-grade AI security controls to help organizations safely move AI agents from pilot to production. This feature addresses the need for secure AI development and deployment within large enterprises. The controls are built directly into the Snowflake platform, offering integrated protection for AI workloads.
feature announcement - Snowflake Blog bloganalyticsaigovernancesnowflakeengineer ·
Snowflake Horizon Context: Governed Semantic Foundation for AI and BI
Snowflake Horizon Context is a new capability within Horizon Catalog that provides a connected, governed semantic foundation. This layer offers active context for AI and BI applications, enabling more informed and governed insights. It is designed for users leveraging Snowflake for AI and business intelligence initiatives.
feature announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake CoCo: AI coding agent for data teams
Snowflake CoCo is an AI coding agent designed for data teams, integrating with desktop, mobile, and Slack applications. It leverages governed enterprise data to provide grounded AI assistance. Async APIs are also available for broader integration.
feature announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake for AI: Deploy AI Agents, Train Models, Automate Workflows
Snowflake CoWork, formerly Snowflake Intelligence, now helps enterprises deploy AI agents, train models, automate workflows, and govern AI at scale. This initiative aims to make enterprise AI more accessible and manageable. The platform is designed for organizations looking to integrate AI capabilities into their operations.
feature announcement - Snowflake Blog bloggovernancesnowflakeengineer ·
Snowflake Announces 2026 Partner Award Winners
Snowflake has recognized its top partners for the year 2026. These awards celebrate partners who have demonstrated innovation, delivered significant customer value, and achieved excellence within the Snowflake ecosystem. The winners represent various fields of expertise and contributions to the platform.
announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake CoWork announced as personal work agent
Snowflake CoWork, previously known as Snowflake Intelligence, has been announced as a personal work agent designed for knowledge workers. It integrates business context, automation, and governed actions across enterprise systems. This aims to enhance productivity for individuals working with enterprise data and applications.
announcement - Snowflake Blog blogaisecuritygovernancesnowflakeengineer ·
Snowflake Enhances Enterprise AI with Context, Governance, and Security
Snowflake is introducing features to improve the deployability of enterprise AI, focusing on consistent context and governance through Horizon Context and Catalog. These enhancements also include AI security improvements and workload-aware Adaptive Compute to boost confidence in AI deployments for organizations.
feature announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake Summit 2026: AI Data Development Enhancements
Snowflake Summit 2026 is set to significantly alter the data development lifecycle for AI initiatives. Key announcements include improvements to Datastream, the introduction of zero-copy integrations, and the enablement of self-managing pipelines. These changes aim to simplify AI development, benefiting data engineers and AI practitioners working within the Snowflake ecosystem.
announcement feature - Snowflake Blog blogaisnowflake ·
Snowflake Announces 2026 Data Drivers Award Winners
Snowflake has announced the winners of its 2026 Data Drivers Awards. These awards recognize individuals and organizations for their innovative use of the Snowflake AI Data Cloud. The honorees are celebrated for their contributions to revolutionizing and growing their respective fields through data.
announcement - Snowflake Blog blogdatagovernancesnowflakegaarchitect ·
Snowflake Metadata Hub Unifies Data Estate
Snowflake introduced the Metadata Hub to unify disparate data estates, enabling cross-platform governance without requiring data migration. This feature aims to streamline data management and compliance efforts for organizations. It is designed for data architects and engineers managing complex data environments.
feature announcement - Snowflake Blog blogaigovernancesnowflakeengineergovernment ·
Slalom: Federal Agencies Should Reconsider Snowflake for AI, Governance, Cost
A new analysis by Slalom suggests federal agencies should re-evaluate their use of Snowflake as a cloud data platform. The report highlights concerns regarding AI readiness, governance capabilities, cost management, and secure data sharing. This perspective is particularly relevant for government entities evaluating their data infrastructure.
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About Snowflake release tracking on ReleaseBytes
Snowflake's weekly releases, behaviour change bundles and feature announcements are easy to lose track of. ReleaseBytes follows the official Snowflake release channels and summarises each update, flagging behaviour changes and deprecations that need action before they are enforced.
Frequently asked questions
How often are Snowflake release notes updated on ReleaseBytes? ›
Continuously. ReleaseBytes monitors the official Snowflake release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.
What kinds of Snowflake changes does ReleaseBytes track? ›
New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.
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Where does the Snowflake release data come from? ›
From the official sources: Snowflake blog and product updates. Every item links back to the original vendor announcement.