A mobile data cloud that eliminates data silos and streamlines workflows, all from a single platform
Snowflake combines multiples data sources, including: data engineering, data lake, data warehouse, data science, data applications, and data sharing.
On one platform, it provides a unified, singular copy of data. Users have secure and governed access to all data, and it's virtually unlimited performance and scale make it ideal for enterprises. Even better, it requires practically zero maintenance.
Recognizable brands such as HubSpot, Pizza Hut, and Office Depot rely on this solution.
By utilizing a data cloud, enterprises can effectively scale farther and faster. The Data Cloud is a network of thousands of organizations that mobilize data, whether they are data consumers, data providers, or data service providers. This data is then easily discovered and securely governed, so that businesses can share live data internally, as well as with stakeholders, partners, and customers. Snowflake’s platform offers immediate access to the Data Cloud.
This unified platform also makes it easy to share previously siloed data. It streamlines workflows and delivers a seamless experience across multiple public clouds and their regions. This way, customers can conduct comprehensive analysis wherever they’re located.
Furthermore, the Data Cloud is compliant with data privacy regulations such as GDPR and CCPA. This is critical, as it houses all kinds of important and personal data. Snowflake also provides a variety of baked-in cloud security measures, including always-on, enterprise-level encryption. Snowflake complies with government and industry regulations, and is FedRAMP authorized.
Snowflake ensures that a business is backed by data. Enterprises can create modern, integrated data applications and run them on Snowflake to achieve the best results for customers, team members, and stakeholders. Utilize this data to develop new revenue streams, or drive your business forward via other, data-backed strategies. Share data and accompanying analysis across all levels of an enterprise so that every user, regardless of expertise, can make data-driven and informed decisions.
