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. (NYSE: SNOW) is a Delaware‑incorporated software company that describes itself as the AI Data Cloud company. This news page aggregates coverage of Snowflake’s announcements, including updates on its data and AI platform, strategic partnerships, financial results, and product innovations. Company press releases emphasize that more than 12,000 organizations, including hundreds of the world’s largest enterprises, use the Snowflake AI Data Cloud to build, use, and share data, applications, and AI.
Readers can expect news about Snowflake’s collaborations with major technology providers such as Amazon Web Services, Google Cloud, SAP, NVIDIA, and Anthropic. Recent announcements have highlighted expanded integrations with Google Cloud’s Gemini models in Snowflake Cortex AI, significant transaction volume through AWS Marketplace, a partnership with SAP Business Data Cloud, and native integration of NVIDIA CUDA‑X libraries in Snowflake ML. Snowflake also reports a multi‑year partnership with Anthropic to bring Claude models into the platform and to power Snowflake Intelligence, its enterprise intelligence agent.
In addition to partnership and product news, Snowflake regularly issues press releases on financial performance and corporate developments. These include quarterly results, guidance updates, and information about governance matters disclosed in SEC filings. Product‑focused updates cover areas such as Snowflake Intelligence, agentic AI, developer tools, observability through the planned acquisition of Observe, and enhancements to machine learning and data engineering workflows on the Snowflake AI Data Cloud.
Investors, customers, and analysts can use this news feed to follow how Snowflake positions its platform in the AI era, how it collaborates across the cloud and enterprise software ecosystem, and how its data and AI capabilities evolve over time.
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.
Snowflake (NYSE: SNOW) announced it more than doubled transaction growth year‑over‑year in AWS Marketplace, surpassing $2 billion in sales in the 2025 calendar year. The company highlighted new joint integrations with AWS — including Snowflake Agent connectors to Amazon Bedrock AgentCore, Catalog Federation with AWS Glue Data Catalog, catalog‑linked databases, and support for Iceberg V3 table spec — to enable open, AI‑ready data architectures and reduce data movement. Snowflake also received 14 AWS Partner Awards, including Global Data & Analytics Technology Partner of the Year.
Snowflake (NYSE: SNOW) and Anthropic expanded a multi-year partnership with a $200 million agreement to bring Anthropic’s Claude models into Snowflake Cortex AI and Snowflake Intelligence for more than 12,600 customers across all three major clouds.
The deal aims to deploy Claude-powered, production-ready AI agents that perform multi-step analysis on governed enterprise data, enable multimodal queries (text, images, audio), and use Snowflake Horizon Catalog for end-to-end governance. The release cites existing usage of Claude at scale (trillions of tokens processed) and says Snowflake uses Claude internally for developer productivity and a GTM AI assistant to accelerate sales cycles.
Snowflake (NYSE: SNOW) reported third-quarter fiscal 2026 results for the quarter ended October 31, 2025. Revenue $1.21B and product revenue $1.16B, both up 29% YoY. Net revenue retention was 125%. Remaining performance obligations totaled $7.88B, up 37% YoY. GAAP product gross profit was $837.6M (72% margin); non-GAAP product gross profit was $879.2M (76% margin). GAAP operating loss was $329.5M; non-GAAP operating income was $131.3M (11% margin). Free cash flow was $113.6M and adjusted free cash flow was $136.4M. Q4 product revenue guidance is $1,195–$1,200M; full-year product revenue guidance is $4,446M (28% growth).
Snowflake (NYSE: SNOW) announced native integration of NVIDIA CUDA‑X Data Science libraries into Snowflake ML, making GPU‑accelerated cuML and cuDF available inside the Snowflake Container Runtime.
Key points: no code changes required to accelerate popular Python libraries (scikit‑learn, pandas, UMAP, HDBSCAN); NVIDIA benchmarks cite 5x speed for Random Forest and up to 200x for HDBSCAN on NVIDIA A10 GPUs versus CPUs. The capability is accessible today via Snowflake Notebooks Container Runtime or remote execution with ML Jobs.
SAP (SAP) and Snowflake (SNOW) announced a strategic collaboration to integrate Snowflake’s AI Data Cloud with SAP Business Data Cloud (BDC) to enable semantically rich, bidirectional, zero-copy data sharing and unified governance.
The offering, called SAP Snowflake, will let customers use Snowflake as a cloud-scale compute and storage option for SAP BDC, harmonize SAP and non-SAP data in real time, and build AI/ML applications grounded in trusted SAP data products. SAP Snowflake is planned for general availability in Q1 2026; SAP BDC Connect for Snowflake is planned for H1 2026.
Snowflake (NYSE: SNOW) announced on November 4, 2025 that Snowflake Intelligence is generally available to its global customer base of more than 12,000 organizations. The platform enables natural-language access to unified enterprise data and supports multimodal analysis via partnerships with model providers like Anthropic.
Key rollout metrics include >1,000 customers deploying over 15,000 AI agents (as of Oct 24, 2025), GA of Cortex Agents and a managed MCP Server, up to 3x faster text-to-SQL, and an Agent GPA method that detects up to 95% of errors on tested datasets.
Snowflake (NYSE: SNOW) on November 4, 2025 announced a suite of developer tools to accelerate enterprise-grade agentic AI app development, emphasizing a single governed platform for secure, collaborative workflows.
Key rollouts include generally available features: Workspaces, Git and VS Code integrations, Cortex AISQL, Dynamic Tables, dbt Projects, Snowpark Connect for Apache Spark, and Code Security; plus previews: Cortex Code (private), AI Redact (public soon), and Data Quality UI (public preview). The release cites customer outcomes including 5.6x faster Snowpark performance and 41% cost savings versus managed Spark, and references an MIT survey on agent adoption.
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