$100M+ earned by Snowflake Marketplace partners in just the first half of 2026. 📈 That’s not just a milestone. It’s a signal: customers are looking for trusted data, AI agents, Snowflake Native Apps and AI-ready products they can put to work fast – and partners are delivering. With Snowflake Marketplace, providers can publish once, distribute across clouds and help customers find, procure and activate solutions inside one governed ecosystem. See what’s fueling the growth: https://bit.ly/3TbuH9z
About us
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.
- Website
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http://www.snowflake.com
External link for Snowflake
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- The Cloud
- Type
- Public Company
- Founded
- 2012
- Specialties
- Data Warehousing, Cloud, Analytics, Data Lake, Marketing Analytics, Data Applications, Data Engineering, Data Science, and Data Exchange
Locations
Employees at Snowflake
Updates
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Snowflake Ventures' Harsha Kapre and Crunchbase's Gené Teare clear the air on what it actually takes to win the enterprise AI cycle. 🔄 For founders, the test isn't whether you can spin up a standard coding agent, it's whether you have a lasting moat built on your domain expertise and proprietary data assets. Only the builders with a bulletproof data foundation are sustaining staying power. Watch here 👉🏻 https://bit.ly/4fdiOsk
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Semantic views give AI agents reliable, governed context. But modeling every table by hand is slow, and it doesn't scale to an entire data estate. Snowflake Cortex Sense closes that gap. It automatically builds grounded context for the data you haven't modeled, learning from the signals your business already produces: query history, transformation models, and BI metrics. In our testing, it lifted agent accuracy on hard data questions from 24% to 86%. Read more: https://bit.ly/3QVGfwW
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Why do different teams look at the same data but see completely different metrics? 📊 When metric logic is fragmented, dashboards drift and AI models are forced to guess your business rules. Bringing structure to your data logic fixes this, stopping teams from rebuilding the same metrics from scratch and giving AI the precision to generate trustworthy answers. It is the fastest way to build an architectural foundation that keeps definitions current everywhere, automatically. 👉🏻 https://bit.ly/4g7XYvB
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Claude Sonnet 5 is now available in Snowflake Cortex AI. 🧠 As a launch partner with Anthropic, we're bringing same-day private preview access in Snowflake, so teams can use Claude Sonnet 5 across CoCo, CoWork, Cortex Agents, Cortex AI Functions and Cortex Inference within Snowflake's secure governance perimeter. That means stronger reasoning, code generation, document parsing and support for more complex agentic workflows, right where your enterprise data already lives. Explore what's possible with Claude Sonnet 5 on Snowflake Cortex AI: https://bit.ly/4oYu9js
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AI is no longer a separate destination, and the Microsoft partnership makes sure your workflows reflect that reality. 😎 Microsoft's Paayal Vora and Snowflake's Amy Hirst-Kodl join Ryan Green to break down how we are eliminating unnecessary data movement. By accessing a single copy of data, your teams can seamlessly bring the right tools directly to your data lifecycle, unlocking true enterprise AI velocity without the integration friction. See the full conversation here 👉🏻 https://bit.ly/4xX50cK
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The Guitar Center Company just tuned out the noise of fragmented data systems for a single, trusted foundation for BI and AI. 🎸 By consolidating legacy cloud and on-prem tools onto Snowflake and Omni, they have unlocked a unified data lifecycle built for enterprise AI analytics. Now, teams across the business can bypass platform complexity to access clean, governed, and completely reliable insights from one source of truth. See how they orchestrated the shift: https://bit.ly/4aPYrPq
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Can #SnowflakeSummit attendees explain AI phrases in real life? 🤯 We hit the show floor to see if real people can cut through the heavy industry jargon and break down complex concepts into plain English.
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Enterprise AI agents are only as good as the guardrails keeping them on track. 🛡️ When autonomous agents run on your data, a blind spot in your security policy isn't just a technical glitch, it's a massive compliance risk. True interoperability means your governance, classification, and row-level masking must follow the data plane server-side, no matter what external engine initiates the query. Learn more 👉🏻 https://bit.ly/4g9hUy1
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#SnowflakeSummit session recordings are now available on-demand! Couldn’t make it to Snowflake Summit 2026 in San Francisco? Access 40+ session recordings from the event, so you can catch up on all the product announcements and explore customer use case presentations, best practices sessions, live demos and more. Watch: https://bit.ly/4oNJZgN
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