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 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 - 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 - Snowflake Blog blogaidatabrickssnowflakeengineer ·
Snowflake Postgres Enhances ML Feature Serving and Data Applications
Snowflake has launched Snowflake Postgres, a fully managed PostgreSQL database, to power low-latency machine learning feature serving and operational data applications. This fully managed service offers enterprise-grade reliability, security, and advanced features like pg_lake for seamless data replication to Snowflake's analytics layer. It is now generally available, with the Snowflake Online Feature Store in public preview, targeting ML engineers, data scientists, and software engineers building operational and AI-driven applications.
feature announcement - Snowflake Blog bloganalyticsaigovernanceengineer ·
Snowflake Report: AI Governance for Marketing Leaders
Snowflake has released its fifth "Modern Marketing Data Stack" report, focusing on the challenges of AI governance for marketing leaders. The report emphasizes the convergence of AI, privacy, and data gravity, highlighting how unified and governed data is crucial for effective AI agentic workflows. It provides guidance for marketers on building a robust data foundation and embracing composable architectures to scale AI initiatives securely and efficiently.
announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake Marketing Team Adopts AI Tools for Enhanced Productivity
Snowflake's marketing team has significantly increased its adoption of AI tools, with 93% using AI daily and 70% using Snowflake's own AI tooling. This shift was driven by the formation of a Marketing AI Council in early 2025, which established trust, guidelines, and a shared framework for responsible AI use. The introduction of Snowflake CoCo, an AI-native coding agent, further accelerated adoption, enabling marketers to automate complex tasks and improve efficiency.
announcement feature - Snowflake Blog blogaisecuritygovernancesnowflakeengineergovernment ·
Snowflake Data-Model-Agent Security Framework for AI Agents
Snowflake introduced a new Data-Model-Agent security framework to address the risks posed by AI agents executing tasks on behalf of businesses. This three-layer approach integrates security into the data, model, and agent layers, offering defense-in-depth for governed AI operations. The framework aims to provide enterprise-grade security, including distinct agent identities, tool governance, and prompt injection defenses, for organizations deploying AI agents.
feature announcement - Snowflake Blog blogsnowflakeengineer ·
Snowflake Expands Operations to Chile
Snowflake has officially launched operations in Chile, recognizing the country's significant economic and technological potential in Latin America. This expansion aims to empower Chilean organizations to accelerate their AI initiatives and transform data into tangible business outcomes. The move is driven by increasing demand for Snowflake's AI Data Cloud in the region, enabling local customers and partners to securely access, share, and derive value from data. This physical presence reinforces Snowflake's commitment to becoming a global company and supporting data-driven decision-making across Latin America.
announcement - Snowflake Blog blogaisnowflakeengineerfinancemedia ·
Snowpipe Streaming and CoCo Simplify Real-Time Data Pipelines
Snowflake's Snowpipe Streaming now offers a direct ingestion API for real-time data loading, reducing latency for time-sensitive applications. To address setup complexity, the CoCo AI coding agent streamlines configuration and script generation, enabling faster deployment of streaming pipelines. This combination benefits data engineers, particularly in industries like finance requiring immediate data analysis. Skills are available via GitHub for quickstart and advanced AI integration.
feature - Snowflake Blog blogdataaisnowflakeengineer ·
Snowflake and Accenture Partner to Create Agentic Enterprise
Snowflake and Accenture are collaborating to enable an "agentic enterprise" by integrating governed data with intelligent agents capable of making and executing decisions. This partnership aims to address the challenge of deploying AI agents in fragmented environments by providing essential decision context and industry-specific intelligence. The solution leverages Snowflake's data platform as a foundation and Accenture's Context Graph to translate governed data into governed actions across various business functions and industries.
announcement feature - Snowflake Blog blogaigovernancesnowflakeengineer ·
Snowflake Adds Support for Agentic Resource Discovery Specification
Snowflake is announcing support for the Agentic Resource Discovery (ARD) Specification, an open protocol for cataloging and discovering AI agents and tools across an enterprise. This aims to solve the problem of finding available AI capabilities and makes agents discoverable across different interfaces like Snowflake CoWork and Microsoft Copilot. The specification allows clients to describe a task in natural language and receive ranked matching agents with their descriptions and endpoints, while maintaining data access control with the agent provider.
feature announcement - Snowflake Blog blogdatasnowflakepreviewengineer ·
Snowflake Integrates Postgres for Unified Apps, Analytics, and AI
Snowflake is introducing Snowflake Postgres, a new solution designed to bridge the gap between transactional applications and analytical workloads, eliminating the need for complex ETL pipelines. Announced features include data mirroring for real-time replication and 'Postgres for your data lake' for flexible data synchronization with open formats like Iceberg. These capabilities aim to provide businesses with consistent, up-to-date data for AI and real-time applications, impacting teams managing both OLTP and OLAP systems.
feature announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake Apps Now Support Full-Stack Web Apps and AI Code Generation
Snowflake Apps now include support for full-stack web applications, allowing developers to build and deploy them directly on the Snowflake platform. This feature aims to accelerate app development by eliminating infrastructure provisioning and configuration, integrating security, and leveraging AI-powered tools for coding and deployment. Available in public preview, Snowflake Apps are designed for engineers and architects working with data-intensive applications on Snowflake.
feature announcement - Snowflake Blog blogaigovernanceobservabilitysnowflakeengineer ·
Snowflake Well-Architected Framework Enhanced for AI Era
Snowflake has updated its Well-Architected Framework (WAF) to better support AI and data workloads, addressing challenges in governance, observability, and cost control. New features include cross-cutting lenses for domain-specific concerns, automated assessments via Snowflake CoCo skills, and guided implementation through Blueprint Manager. These enhancements enable organizations to continuously assess and improve their Snowflake environments for better security, reliability, performance, and cost optimization, particularly for AI initiatives.
feature - Snowflake Blog blogaiawssnowflakegaengineer ·
Snowflake Adaptive Compute Achieves General Availability on AWS
Snowflake Adaptive Compute is now generally available on AWS, offering a workload-aware approach to infrastructure that aims to balance performance, scalability, and ease of use for AI and dynamic data workloads. This feature aims to boost throughput, accelerate time to insight, and free up engineering resources by automating infrastructure management. It is now available in expanded global regions and offers superior price-performance compared to previous warehouse generations.
feature announcement - Snowflake Blog blogdatasnowflakeengineer ·
Snowflake AIM: Unified AI Platform for Data Migration and Modernization
Snowflake announced Snowflake AIM, a new AI-powered platform designed to accelerate enterprise data migration and modernization efforts. This unified solution combines existing tools like SnowConvert AI and Snowpark Migration Accelerator to automate assessment, code conversion, and migration for various workloads. AIM supports both full modernization to Snowflake-native architectures and rapid virtualization of legacy systems, such as Teradata, offering a phased approach to reduce risk and speed up time-to-value for organizations undergoing data platform transformations.
feature announcement - Snowflake Blog blogdatasnowflakeengineer ·
Snowflake Dynamic Tables: Faster Refreshes and Enhanced Features
Snowflake has released significant performance improvements for Dynamic Tables, achieving up to 2.8x faster refresh times on Gen2 warehouses. New features like QUALIFY row/rank = 1 and PRIMARY KEY RELY constraints enhance incremental processing and data stability. These updates benefit data engineers and architects managing autonomous data pipelines by reducing latency and compute costs, with some features now generally available and others in public preview.
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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
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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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