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 blogaigcpsnowflakeengineer ·
Snowflake and Google Cloud collaborate on Apache Iceberg lakehouse
Snowflake and Google Cloud are leveraging Apache Iceberg to create an open, AI-ready lakehouse. This collaboration aims to enable data interoperability and prevent vendor lock-in for users. The integration focuses on making data accessible and usable across different platforms. Details on the specific implementation are available in the announcement.
announcement - Snowflake Blog blogaiawsazuresnowflakegaengineer ·
Snowflake Adaptive Compute GA in Azure, GCP regions
Snowflake's Adaptive Compute feature, designed to automatically adjust compute resources for fluctuating AI and variable workloads, is now generally available in select Azure and Google Cloud regions, in addition to previously available AWS regions. This enhancement aims to improve price-performance, reduce manual tuning, and simplify compute management for diverse workloads. It is available for Enterprise+ accounts with a simple configuration change to existing standard warehouses.
feature patch - Snowflake Blog blogaisecuritygovernancesnowflakeengineer ·
Snowflake Enhances AI Security with Agentic Controls and Governance
Snowflake announced new enterprise-grade AI security features at Black Hat 2026, including the Cortex AI Gateway and tools for managing agent identity and preventing data exfiltration. These features aim to provide robust security for AI applications deployed on Snowflake. The enhancements are targeted at organizations leveraging AI and sensitive data, offering greater control and visibility.
feature announcement - Snowflake Blog blogaiobservabilitysnowflakeengineer ·
Whatnot details AI-powered observability and analytics on Snowflake
Live-shopping platform Whatnot shared its strategy for achieving hyper-growth with enhanced data observability and AI-driven analytics on Snowflake. This approach enables decentralized data teams while maintaining visibility and cost control, powered by Snowflake Cortex Agents for conversational analytics. The solution is now being extended to external sellers via the Whatnot Seller Hub, with significant internal adoption reported.
announcement feature - Snowflake Blog blogaisnowflakepreviewengineer ·
Claude Opus 5 available in public preview on Snowflake Cortex AI
Anthropic's Claude Opus 5 model is now accessible in public preview through Snowflake Cortex AI. This integration brings advanced reasoning and agentic capabilities to Snowflake's secure, governed AI platform. The feature is available for users to explore ahead of general availability.
feature announcement - Snowflake Blog blogaisnowflakearchitect ·
Snowflake AI Data Cloud Framework for Agentic AI ROI
Snowflake has released a framework designed to help enterprises achieve measurable ROI from agentic AI initiatives by addressing scalability challenges. The framework focuses on reducing operational tax, a key concern for scaling AI deployments. This announcement is particularly relevant for executives and architects overseeing AI strategy and implementation.
announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake Discusses Enterprise AI Agents and Data Modernization
This article discusses the rise of agentic AI in enterprise operations and retail by 2026, emphasizing the need for data modernization to support these autonomous systems. It outlines how AI agents will transform supply chains, manufacturing, and consumer commerce, necessitating a shift from traditional SEO to Generative Engine Optimization (GEO). The piece details the architectural pillars required for an enterprise AI platform, focusing on unified data foundations and AI-ready data structures to enable intelligent agentic capabilities.
announcement - Snowflake Blog bloganalyticsaisnowflakeengineer ·
Snowflake, Meta Campaigns, and Governed Conversion Signals
Snowflake and Meta campaigns can now connect through governed conversion signals, enabling optimization of ad delivery. This integration uses CAPI and campaign diagnostics to provide a closed signal loop. The feature is relevant for businesses using both Snowflake for data and Meta for advertising.
announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake Partner Playbook for AI Era
This playbook guides Snowflake partners on leveraging domain expertise and Snowflake Cortex AI, including Cortex Code, to build and scale solutions. It aims to equip partners for the evolving AI landscape. The content is relevant for partners seeking to enhance their offerings with generative AI capabilities.
announcement - Snowflake Blog blogaigovernancesnowflakeengineer ·
Snowflake CoCo for Enterprise AI
Snowflake CoCo is a new offering designed to scale enterprise AI applications securely and with control. It includes features like Desktop, Cloud Agents, AI cost governance, and Agent Settings. This aims to provide the necessary tools for organizations to build and deploy AI responsibly at scale.
feature announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake Cortex Agents: Enhanced Enterprise AI Orchestration
Snowflake Cortex Agents now offer improved capabilities for building, deploying, and operating enterprise AI agents. These enhancements provide managed orchestration, execution, and governance, simplifying the AI development lifecycle. This update is relevant for engineers and architects developing AI solutions on Snowflake. The new features focus on streamlining the operational aspects of enterprise AI deployments.
feature announcement - Snowflake Blog blogaigovernancesnowflakeengineer ·
Snowflake Powers Team USA Bobsled/Skeleton Data Collaboration
Snowflake highlights its partnership with Team USA Bobsled/Skeleton, showcasing how its data collaboration platform, Snowflake CoWork, enables athletes and coaches to refine split-second decisions using data analytics. This collaboration focuses on optimizing push starts, race strategy, and talent recruitment, demonstrating the impact of AI and data on athletic performance. The insights gained are expected to extend to future Olympic cycles, including the LA28 Games.
announcement - Snowflake Blog blogaisnowflakeengineeranalyst ·
Marketers Need to Own Their AI Context Layer for Differentiation
This article argues that marketers must build and own their AI context layer to maintain a competitive advantage. Many platforms extract brand IP disguised as features, weakening a brand's unique intelligence, especially as AI adoption grows. By controlling this context, brands can ensure AI outputs are distinctly theirs, driving true differentiation rather than subscribing to average performance. This approach is accessible to all organizations, not just large enterprises, and aligns with the principle of bringing AI to data, as advocated by Snowflake.
announcement - Snowflake Blog blogaigovernancesnowflakearchitect ·
Snowflake Advocates Owning the Context Layer for AI
Snowflake's latest commentary emphasizes the critical need for brands to own and protect their 'context layer' – the proprietary intelligence and vernacular that defines their unique identity. As AI adoption accelerates, surrendering this context to vendors for shared model improvement risks commoditizing brand differentiation and benefiting competitors. The article argues for building and governing a proprietary context layer within one's own environment, bringing AI models and partners to the data, a strategy Snowflake itself implements.
announcement - Snowflake Blog blogaisnowflakeengineerfinance ·
Snowflake's Snowplan: AI-powered financial planning platform
Snowflake has rebuilt its internal long-range financial planning model, Snowplan, on Snowflake with a Streamlit UI. This modernization addresses the limitations of large Excel models by providing a scalable, governed planning platform directly integrated with business data. The platform, now enhanced with Snowflake CoCo for conversational AI, allows finance teams to interact with forecasts and scenarios more fluidly, accelerating strategic alignment and analysis. It's designed for finance analysts, managers, and executives, allowing them to manage assumptions, generate scenarios, and understand forecast drivers through natural language queries.
feature announcement - Snowflake Blog blogaisnowflakegaengineer ·
Snowflake Data Clean Rooms ML Jobs Now Generally Available
Snowflake's ML Jobs feature is now generally available within Data Clean Rooms, allowing data scientists to run complex Python ML workloads with distributed training and GPU compute. This addresses previous limitations of SQL-only or single-node Python in clean rooms, enabling multiparty model training and scoring without raw data leaving an organization's account. The feature is available to engineers and data scientists who work with sensitive, cross-organizational data in secure collaboration environments.
feature - Snowflake Blog blogaigovernancesnowflakeengineer ·
Snowflake Enhances FinOps with AI Cost Management and Governance
Snowflake is integrating AI capabilities, like its Snowflake CoCo™ agent, into its cost management tools to improve visibility and governance of AI workloads. This addresses the increasing complexity of AI spend, which has become a top priority for FinOps teams according to recent industry reports. The new features provide natural language cost analysis, explainable anomaly detection, and granular AI cost visibility, enabling teams to better manage and control AI investments. These enhancements are rolling out to Snowflake users, with some features like the redesigned Account Overview already generally available.
feature - Snowflake Blog blogaisnowflakegaengineer ·
Snowflake Marketplace Partners Surpass $100M Revenue, Expanding Beyond Data
Snowflake Marketplace partners generated over $100 million in gross bookings in the first half of 2026, marking significant year-over-year growth and reflecting increased customer transactions for data products. The platform is evolving into a comprehensive ecosystem for data, AI applications, and agentic products, enabling providers to deliver AI-ready solutions with built-in governance. This expansion targets enterprises seeking to leverage AI and agents with trusted context, impacting data providers, application builders, and AI startups.
announcement feature - Snowflake Blog blogaisnowflakepreviewengineer ·
Snowflake Cortex Sense Enhances Enterprise AI Agents with Automatic Context
Snowflake is launching Cortex Sense, a new private preview feature designed to improve the accuracy and efficiency of AI agents by automatically building a contextual understanding of enterprise data. Unlike static semantic views, Cortex Sense dynamically models the entire business using signals like query history and BI metrics, addressing gaps in existing documentation and handling new data. This aims to reduce incorrect or speculative AI-generated answers for a broad range of users, from product managers to data scientists, across various cloud platforms.
feature announcement - Snowflake Blog blogaisnowflakepreviewengineer ·
Claude Sonnet 5 available on Snowflake Cortex AI in private preview
Snowflake announced the private preview availability of Anthropic's Claude Sonnet 5 model on Snowflake Cortex AI. This integration allows users to leverage Sonnet 5's enhanced coding, debugging, and agentic capabilities within Snowflake's secure environment. The model offers improved performance for tasks like data analysis, code generation, and long-running agentic workflows, impacting data engineers, analysts, and developers.
feature announcement
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.
How can I get alerts for new Snowflake releases? ›
Set up a free email or Slack alert filtered to Snowflake, subscribe to the weekly digest, or follow the RSS feed. Teams can also install the ReleaseBytes GitHub App or connect via MCP.
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.