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 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 blogdatasnowflakeengineer ·
Snowflake Custom Incrementalization for Dynamic Tables Improves Performance
Thrive Learning, a UK-based enterprise learning platform, improved the cost-performance of its Snowflake Dynamic Tables by implementing custom incrementalization. This new capability allows transformations to process only changed rows rather than full refreshes, significantly reducing compute and auto-clustering costs. The solution, developed by Thrive's data engineering team, also maintains data lineage within their dbt workflows, enabling fresher data for AI use cases.
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 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 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 blogsnowflakehealthcare ·
Snowflake Earns HDS Certification in France for Healthcare Data
Snowflake has achieved HDS Certification Version 2 in France, enabling healthcare organizations to host sensitive health data on its AI Data Cloud. This certification addresses regulatory challenges and aims to accelerate data and AI innovation within France's healthcare and life sciences sectors. It applies to eligible workloads in European Economic Area regions and supports secure collaboration on governed data.
announcement 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 - Snowflake Blog blogaisnowflakeengineer ·
Dataiku Cobuild integrates with Snowflake for enterprise AI development
Dataiku Cobuild is now available on Snowflake, offering a governed path to build and deploy enterprise AI applications. This integration aims to accelerate AI development by allowing business users and engineers to collaborate on AI solutions within Snowflake's existing data infrastructure. It leverages Snowflake Cortex AI and Dataiku's orchestration to enable faster iteration and broader organizational participation in AI initiatives, while maintaining governance and security controls.
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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