Snowflake

Open table formats promised flexibility. But for many teams, they also introduced a new kind of complexity. Today, Snowflake Storage for Apache Iceberg™ on Amazon Web Services (AWS) & Microsoft Azure is publicly available—bringing enterprise-grade reliability, resilience, and governance to your open data architecture. All the interoperability you want. None of the overhead. See how it works 👇 https://bit.ly/4szi97Z

❄️ The April Snow Report is LIVE ❄️ The Snowflake AI Data Cloud is accelerating this spring, with expanded access to Cortex Code and major interoperability upgrades for Iceberg Tables. It is now even easier to build and govern enterprise AI at scale. 🚀 What’s new Cortex Code, everywhere Our agentic assistant now reaches more developers than ever. It now supports Windows in the CLI and offers deeper integration across Snowflake Workspaces and Notebooks. Iceberg interoperability, unlocked External Engine Reads for Snowflake managed Iceberg Tables are now GA, powered by Horizon APIs. This enables seamless access with Spark and Trino. Next up External Engine Writes are coming soon in Public Preview. 🗓️ Don’t miss what’s ahead • Apr 15: Hands on lab. Build data engineering pipelines in Snowflake Notebooks • Apr 16: Snowflake Connect: Analytics • Apr 21 to 30: Accelerate 2026 virtual series covering Retail, Financial Services and Healthcare and more • Jun 1 to 4: Snowflake Summit in San Francisco. Secure early bird pricing ➡️ Watch the full report to see it all in action and learn why 92% of early AI adopters are already seeing positive ROI. https://bit.ly/3OFas2k

10 years ago, a small but mighty team at Snowflake came together to write a paper based on a simple idea: the best data platforms aren’t built by adding more—they’re built by removing what gets in the way. That idea became Snowflake. Not more tools. Not more layers. A system designed so data, workloads, and now AI can actually work together. Today, we’re honored to share that our founding Snowflake team has received the prestigious 2026 ACM SIGMOD/PODS “Test-of-Time” Award. It’s an opportunity to revisit the paper and reflect on how those early ideas shaped the company Snowflake is today — and where we're heading. Read more from our co-founders about how we got here and what comes next 👇 https://bit.ly/4c55S6s

Introducing Snowflake AI Pulse — your new monthly source for the latest in AI innovation. Join us live on Tuesday, April 21, at 1 PM PT / 4 PM ET for the kickoff session of this new series, happening every third Tuesday of the month.

Building AI shouldn’t feel like an endless cycle of infrastructure maintenance. Most teams spend more time moving, cleaning, and syncing data than actually shipping features. 🤯 With an interoperable lakehouse on the Snowflake AI Data Cloud, you can finally stop the data duplication. By using Apache Iceberg, you keep your data in one place while giving every engine the access it needs, effectively turning architectural flexibility into a foundation for governed, enterprise-ready AI. Get the guide 👉🏻 https://bit.ly/4mjtzeE

We’re entering a new phase of the data era: where insights don’t just inform decisions—they trigger action. Recently at HumanX, Snowflake CEO Sridhar Ramaswamy joined Eric Newcomer to talk about the shift underway: from systems that store data to platforms that orchestrate the entire enterprise. That’s the opportunity in front of us—and why we’re investing across the stack to power the agentic enterprise. More on the vision 👇 https://bit.ly/3NVrj0D

Building AI agents that actually move the needle shouldn't be a marathon. FNBO is already seeing 10x productivity gains by putting agentic ML to work with Cortex Code in Snowflake ML. 🚀 By automating the heavy lifting of forecasting and anomaly detection, they've turned complex data cycles into streamlined, actionable insights. No more wading through the noise—just high-impact results delivered at speed. See how they’re redefining what’s possible with predictive insights 👉🏻 https://bit.ly/4cfDbm0

Snowflake and Google Cloud are rewriting the rules for high-performance AI. 🤝 We have deepened our technical integration to bring Google Cloud’s new Axion processors directly into Snowflake. By incorporating this custom silicon into our latest warehouses, your most complex data workloads benefit from: ❄️Faster throughput ❄️Lower latency ❄️Enhanced memory Don't let hidden hardware bottlenecks slow down your most complex data tasks. 👉 https://bit.ly/4sUrWXk

Drum roll please......🥁 After an incredible wave of submissions, we're thrilled to reveal the 2026 Snowflake Startup Challenge semifinalists! The competition was fiercer than ever, and these 10 companies are redefining what's possible on Snowflake. Ready to meet the future? Dive into our latest blog post and see who is at the forefront of the next wave of innovation. 👉🏻 https://bit.ly/3PMDXzD

The future of the enterprise is data agency. 🌎 By combining the openness of Apache Iceberg™ with universal governance and semantic context, the Snowflake AI Data Cloud empowers you to act on your data where it lives. The result? Users who can act on data in place, without lock-in. No more fragmentation—just a single source of truth that powers faster insights and more effective AI. Learn more 👉 https://bit.ly/47MopSt