Business Description

We believe that a cloud computing platform that puts data and artificial intelligence (AI) at its core will offer great benefits to organizations by allowing them to realize the value of the data that powers their businesses. By offering rich primitives for data and applications, we believe that we can create a data connected world where organizations have seamless access to explore, share, and unlock the value of data. Our vision is a world where data and AI turn possibilities into reality. To realize this vision, we deliver the AI Data Cloud, a network where Snowflake customers, partners, developers, data providers, and data consumers can break down data silos and derive value from a growing number of data sets in secure, governed, and compliant ways. Our platform is the innovative technology that powers the AI Data Cloud, enabling customers to consolidate data into a single source of truth to drive meaningful insights, apply AI to solve business problems, build data applications, and share data and data products. We provide our platform through a customer-centric, consumption-based business model. Snowflake solves the decades-old problem of data silos and data governance. Leveraging the elasticity and performance of the public cloud, our platform enables customers to unify and query data to support a wide variety of use cases. It also provides frictionless and governed data access so users can securely share data inside and outside of their organizations, generally without copying or moving the underlying data. As a result, customers can blend existing data with new data for broader context, augment data science efforts, and create new monetization streams. Delivered as a service, our platform requires near-zero infrastructure maintenance, enabling customers to focus on deriving value from their data rather than managing infrastructure. Our cloud-native architecture includes three independently scalable but logically integrated layers across storage, compute, and cloud services. The storage layer ingests massive amounts and varieties of structured, semi-structured, and unstructured data. The compute layer provides dedicated resources to enable users to simultaneously access common data sets for many use cases with minimal latency. Within the compute layer, users can clean and prepare their data, including any required metadata and business semantics, to create governed, unified data records that are AI ready and are written back to the storage layer. The cloud services layer enables users to securely use AI within applications, tools, and processes. This architecture is built on three major public clouds across 53 regional deployments around the world. These deployments are generally interconnected to deliver the AI Data Cloud, enabling a consistent, global user experience. Our platform supports a wide range of product categories that enable our customers’ most important business objectives, including analytics, data engineering, AI, and applications and collaboration. We are committed to expanding our platform’s product features and use cases and supporting developers in building their applications and businesses. Many of our product features help power multiple product categories. In 2021, we launched Snowpark for Java and Scala to allow developers to build in the language of their choice, and in 2022 we added support for Python. Snowpark brings the power of Python and Java to our platform and complements many use cases for our customers across several product categories, including data engineering and AI. In 2023, we launched Snowpark Container Services, a fully managed container platform designed to facilitate the deployment, management, and scaling of containerized applications and AI models within our ecosystem. Snowpark Container Services are used in several of our product categories, including AI and applications. In 2024 and 2025, we announced and then launched Snowflake Intelligence within our AI product category, to enable our customers to create data agents, empowering business users to take actions on structured and unstructured data without the need for technical knowledge or coding skills.…