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 blogaigovernancesnowflakearchitect ·
Data Platform-Centric Approach for Legal AI Governance
This article advocates for a data-platform-centric approach to deploying AI in legal operations, arguing that a model-centric approach falls short by lacking institutional context and governance. By embedding controls within the enterprise data platform, organizations can ensure consistent, enforceable AI behavior, preserving confidentiality and auditability. This data-native architecture enables context-aware reasoning and a compounding feedback loop, crucial for responsible and scalable legal AI.
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 blogaisnowflakehealthcare ·
Snowflake and NVIDIA Partner on Agentic AI for Life Sciences
Snowflake and NVIDIA have integrated Snowflake's agentic control plane with NVIDIA's BioNeMo Agent Toolkit to enable governed agentic workflows for life sciences R&D. This collaboration allows pharmaceutical companies to accelerate research by running complex AI workflows directly where their data resides, leveraging specialized biological intelligence and enterprise-grade governance. The solution targets R&D teams, aiming to shorten drug development cycles and enhance scientific discovery through trusted, scalable AI agents.
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 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 blogaisnowflakearchitecthealthcare ·
Snowflake: AI Agents in Healthcare - Key Considerations for Leaders
This article outlines critical questions for healthcare and life sciences leaders adopting agentic AI, moving beyond simple tasks to orchestrating complex workflows. It emphasizes the need for trusted data foundations, robust governance, secure data access, and strategies to mitigate AI hallucinations. The piece advises leaders to assess their organization's readiness for privacy, security, and auditability when deploying these powerful AI agents.
announcement - 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 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 blogdataaiengineer ·
AI Shifts Data Engineering: Declarative Pipelines and Agentic Future
Data engineering is shifting towards a declarative approach to handle AI's demands and evolving from manual tasks to strategic execution. This allows for more efficient pipeline development, enabling the integration of AI tools like coding agents, which are adept at modern, software-defined data engineering practices. The future role of data engineers will focus on advanced data modeling and system architecture, ensuring data quality and availability for AI and applications, as detailed in a new guide on building resilient data pipelines.
announcement - 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 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
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.