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 blogobservabilitysnowflakepreviewengineer ·
Snowflake Observe on Iceberg enters private preview
Snowflake's Observe service, built on Apache Iceberg, is now in private preview. This allows users to store telemetry data as open Iceberg tables in their own S3 buckets, making it accessible to any query engine. This move aims to enhance open observability for telemetry data.
announcement feature - Snowflake Blog blogdatasnowflakeengineer ·
Migrate Apache Spark to Snowflake using CoCo skill
Snowflake introduced the CoCo spark-migration skill to help migrate Apache Spark pipelines to Snowpark Connect. This new capability aims to improve performance and reduce operational costs for users migrating their data workloads. The skill is available for all Snowflake users who manage Spark pipelines.
feature announcement - 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 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 blogdatasnowflakeengineer ·
Snowflake Enhances Document Intelligence with New AI Functions
Snowflake is introducing native document intelligence capabilities, treating documents as first-class data to improve how businesses process and extract information. These new features, accessible via Snowflake Cortex AI Functions, allow for more accurate digitization and analysis of documents like invoices, contracts, and reports, benefiting a wide range of enterprise users and processes. The capabilities include parsing documents with structural preservation, extracting specific data fields, and enabling deep analytics across large document collections, all within Snowflake's secure environment.
feature announcement - Snowflake Blog blogsnowflakegaengineerhealthcaregovernment ·
Snowflake and ICF modernize federal health data systems
A large federal health program replaced legacy data systems with Snowflake, reducing ETL processing time by over 75% and cutting data platform costs by 80%. This modernization, enabled by partner ICF, improves data access and positions the program for AI-driven insights. The solution offers enhanced security, compliance, and a scalable, cloud-native data environment for healthcare organizations.
feature announcement - Snowflake Blog blogdatadatabrickssnowflakeengineergovernment ·
Snowflake Horizon Enhances Iceberg Interoperability Against Databricks Unity Catalog
Snowflake's Horizon Catalog now fully implements the Iceberg REST Catalog protocol, enabling bidirectional read/write access and secure credential vending for external Iceberg tables. This contrasts with Databricks Unity Catalog, which offers only inbound access and relies on less secure, long-lived credentials for outbound operations. This update matters for organizations seeking true data agency and reduced vendor lock-in, particularly impacting data engineers and architects managing multi-cloud or hybrid data platforms.
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 blogdatasnowflakegaengineer ·
Open Semantic Interchange Renamed Apache Ossie (Incubating)
The Open Semantic Interchange (OSI) project, an open specification for semantic layers and ontologies, has been renamed Apache Ossie (Incubating) as it enters the Apache Software Foundation's incubator program. This change aims to prevent confusion with other projects using the OSI acronym and to establish a vendor-neutral governance structure. The specification and its YAML-based format remain unchanged, ensuring compatibility for existing users, and the project seeks broader community involvement to define future roadmaps, including enhancing expressiveness and building more integrations.
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
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.