The Data Cloud
The Data Cloud Explained
The Data Cloud is a global network that connects organizations to the data and applications most critical to their business. The Data Cloud enables a wide range of possibilities, from breaking down silos within an organization to collaborating over content with partners and customers, and even integrating external data and applications for fresh insights.
Powering the Data Cloud is Snowflake’s single platform. Its unique architecture connects businesses globally, at practically any scale to bring data and workloads together. Together with the Snowflake Marketplace which simplifies the sharing, collaborating, and monetizing of thousands of datasets, services, and entire data applications - this creates the active and growing Data Cloud.
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”.
To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.
The four architectural layers of Snowflake's platform
Brings unstructured, semi-structured, and structured data together at near-infinite scale.
Elastic, multi-cluster compute
Scales up and down based on usage and scales out to support massive concurrent users, data volumes, and workloads, all with one engine.
Keeps Snowflake self-managing, with automations that eliminate costly and complex resource investments.
Delivers a single, connected experience across regions and clouds globally to enable unified governance, business continuity, and both intra- and inter-org collaboration.
Bring All Workloads and
Use Cases to the Data
Instead of the historic pattern of data moving to different systems or teams, the Data Cloud enables organizations to bring all workloads directly to their data. Thus breaking down silos and fueling more powerful insights, quickly.
Accelerate your AI and machine learning workflows with fast access and elastically scalable processing.
Develop and scale data-intensive applications without operational burden.
Protect your enterprise with near-unlimited visibility, unified data, and powerful analytics.
Discover, acquire, and monetize live data, services and apps in the Data Cloud.
Accelerate data analytics for users and queries with great price/performance ratio and reduced complexity.
Deploy flexible architectural patterns with governance and optimized storage at scale.
Delivers a modern approach to working with transactional and analytical data together.
Build simple, reliable data pipelines at scale in the language of your choice.
The Data Cloud Explained
Snowflake is powering the future of application development. Snowflake’s platform provides the building blocks to build, test, and deploy data-intensive applications. Once operational, easily scale to support dynamic demand and ensure everything stays up and running even across clouds, without the SRE burden.
The Data Cloud also helps organizations drive new revenue with the Snowflake Marketplace. Distribute and monetize Snowflake Native Apps to the entire Data Cloud network of thousands of organizations, and streamline monetization with customizable billing, in-platform purchasing, and fine-grained usage reports. Join the hundreds that are building and distributing modern applications with Snowflake.
Start Your 30-Day
Try Snowflake free for 30 days and experience the Data Cloud that helps eliminate the complexity, cost, and constraints inherent with other solutions. Available on all three major clouds, Snowflake supports a wide range of workloads, such as data warehousing, data lakes, AI and machine learning.