Welcome to our dedicated page for Snowflake news (Ticker: SNOW), a resource for investors and traders seeking the latest updates and insights on Snowflake stock.
Snowflake Inc. develops the AI Data Cloud, a cloud-native platform used by enterprises to build, use and share data, applications and AI across governed data environments. Company news commonly covers financial results, product revenue trends, customer adoption, platform expansion and go-to-market execution.
Recurring updates include AI and data-product announcements tied to Snowflake Intelligence, Cortex Code and Project SnowWork; customer and industry research on generative and agentic AI; user-conference developments; and leadership changes affecting revenue, sales and governance roles. Snowflake’s disclosures also emphasize data sharing, interoperability, security and governance as operating themes within its enterprise software platform.
Snowflake (NYSE: SNOW) unveiled Semantic View Autopilot (GA) plus enhancements across agent evaluations, end-to-end ML, and AI cost governance on February 3, 2026. Semantic View Autopilot automates building, optimizing, and maintaining governed semantic views to align AI agents on trusted business metrics, cutting semantic model creation from days to minutes.
Snowflake also announced Snowflake Notebooks, Cortex Code integration, Experiment Tracking, Online Feature Store, Online Model Inference, and Cortex Agent Evaluations to speed ML production and make agent behavior auditable.
Snowflake (NYSE: SNOW) introduced Cortex Code, a Snowflake-native AI coding agent that provides context-aware coding assistance for enterprise data workflows, available via Cortex Code CLI (generally available) and coming to Snowsight soon. The release adds integrations with v0 by Vercel, Brave Search (public preview), and Workspaces enhancements including Shared Workspaces, Snowflake Notebooks, and OIDC authentication (all generally available).
Cortex Code aims to accelerate data engineering, analytics, ML, and agent-building by embedding secure, governed AI into local developer workflows and Snowflake experiences.
Snowflake (NYSE: SNOW) announced advancements to make enterprise data AI-ready, including Snowflake Postgres (generally available soon), Snowflake Horizon Catalog, Open Format Data Sharing, integration with Microsoft OneLake (generally available), and Snowflake Backups (now generally available).
These features aim to unify transactional, analytical, and AI workloads, improve interoperability with Apache Iceberg and Delta Lake, and strengthen data governance and resilience for production AI.
Snowflake (NYSE: SNOW) will present at the Morgan Stanley Technology, Media & Telecom Conference on Tuesday, March 3, 2026 at 4:05PM PT. CEO Sridhar Ramaswamy and CFO Brian Robins will deliver the presentation. An event webcast will be available on the company's investor relations site and archived for 30 days.
Snowflake (NYSE: SNOW) will release fourth-quarter and full-year fiscal 2026 results after U.S. market close on February 25, 2026, covering the period ended January 31, 2026. A conference call and live webcast will begin at 3:00 p.m. Mountain Time on the same day, with replay available for 30 days.
Snowflake (NYSE: SNOW) and OpenAI announced a multi-year partnership valued at $200 million to integrate OpenAI models natively into Snowflake Cortex AI and Snowflake Intelligence across all three major clouds. The agreement makes OpenAI models like GPT-5.2 available to Snowflake’s ~12,600 customers for enterprise AI agents, co-innovation, and joint go-to-market efforts. Key benefits cited include built-in governance, multimodal data support via Cortex AI Functions, and a 99.99% uptime SLA to support enterprise deployments and secure, governed access to proprietary data.
Snowflake (NYSE: SNOW) on January 27, 2026 launched Energy Solutions — a bundled offering that combines Snowflake governance, partner-built solutions, and industry datasets to unite IT, OT, and IoT data for power, utilities, and oil & gas companies.
The launch includes 30+ new partner solutions, a partnership with SAP to combine finance and supply-chain data with operational systems, Snowflake Intelligence natural-language access, and partner features such as CARTO spatial analytics and Itron’s 8,760-hour grid planning analysis that delivers results in hours instead of months.
Snowflake (NYSE: SNOW) has signed a definitive agreement to acquire Observe to deliver AI-powered observability at enterprise scale. The deal aims to integrate Observe’s AI Site Reliability Engineer with Snowflake’s AI Data Cloud to retain 100% of telemetry at lower cost, support an open-standard architecture based on Apache Iceberg and OpenTelemetry, and enable resolving production issues up to 10x faster. The acquisition targets a $50+ billion IT operations management market and cites Gartner’s $51.7B ITOM market figure for 2024. Closing is subject to regulatory approvals and customary conditions.
Snowflake (NYSE: SNOW) expanded its Google Cloud collaboration by bringing Gemini 3 natively to Snowflake Cortex AI, enabling customers to build and scale generative AI applications on governed data without moving or copying data.
The companies announced deeper go-to-market alignment, co-sell opportunities and transacting via Google Cloud Marketplace, production availability of Snowflake Gen2 Warehouses on C4A Axion-based VMs for improved price-performance, and regional launches on Google Cloud in the Kingdom of Saudi Arabia and Melbourne, Australia (early 2026).
Accenture (ACN) and Snowflake (SNOW) announced the formation of the Accenture Snowflake Business Group on December 3, 2025 to scale generative AI and data-driven business reinvention for enterprises.
Key elements: a global Center of Excellence, integration of Accenture AI Refinery with Snowflake Intelligence and Cortex AI, support from > 5,000 Accenture SnowPro-certified professionals, and a highlighted client engagement with Caterpillar to accelerate manufacturing, finance, and knowledge-management use cases.
The group aims to help clients migrate to cloud, build AI-ready data estates, and co-create AI-powered applications; the release also reiterates standard forward-looking risk disclosures tied to execution, talent, security, competition, and regulatory factors.