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 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 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 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 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 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 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 blogaisnowflakegaengineer ·
LGND AI Wins 2026 Snowflake Startup Challenge
LGND AI, a company creating Large Earth Models (LEMs) trained on planetary imagery, has won the 2026 Snowflake Startup Challenge. Their technology aims to make Earth observation data queryable by AI, enabling applications in insurance, government, and AI agents. LGND AI leverages Snowflake's platform, including Snowpipe, Dynamic Tables, and Cortex Search, to process vast amounts of geospatial data and build sophisticated AI applications for understanding the physical world. Runners-up Airrived and Twine Security were also recognized for their AI agent innovations.
announcement - Snowflake Blog bloggovernancesnowflakegaengineergovernment ·
Snowflake Lakehouse Integrates Apache Iceberg for Data Governance
Snowflake now supports managed Apache Iceberg tables, enabling unified storage, governance, and semantics within its Lakehouse architecture. This feature provides users with greater control over their data assets by integrating a popular open table format. This enhancement is available for all Snowflake users seeking to manage data more effectively.
feature - Snowflake Blog blogdatagovernancesnowflakegaarchitect ·
Snowflake Metadata Hub Unifies Data Estate
Snowflake introduced the Metadata Hub to unify disparate data estates, enabling cross-platform governance without requiring data migration. This feature aims to streamline data management and compliance efforts for organizations. It is designed for data architects and engineers managing complex data environments.
feature announcement - Snowflake Blog blogaisnowflakega ·
Snowflake and SAP Announce General Availability of Joint AI Offerings
Snowflake and SAP have reached a significant milestone with the general availability of their jointly developed offerings. This advancement in their partnership focuses on enabling enterprise AI capabilities. The new integrations are now production-ready for customers looking to leverage advanced AI solutions.
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.