Cross-Cloud
Snowgrid
Interconnect your business’ ecosystems across regions and clouds with a cross-cloud technology layer that lets you operate at global scale
Interconnect your business’ ecosystems
across regions and clouds
Cross-Cloud
Collaboration
Instantly discover, access, and share data, services, and apps across clouds and regions, without ETL.
Cross-Cloud
Data Governance
Flexible policies, tags, and lineage follow the data for consistent enforcement across users, workloads, clouds, and regions
Cross-Cloud
Business Continuity
Unmatched resiliency to eliminate disruptions, comply with changing regulations, or migrate between clouds
Collaborate more efficiently
with your global business ecosystem
Deliver direct access to live, ready-to-query data and applications across clouds and regions with on-demand fulfillment and no ETL
- Collaborate on the same data regardless of the cloud and region each team member is using through a single, consistent user experience
Gain visibility and control over
your global data estate to comply with regulations
Policies, tags, lineage, and dependencies follow the data—not the cloud
Policies are consistently enforced everywhere from a single place, simplifying governance at scale, minimizing risk, and unlocking more value from sensitive or regulated data
Easily safeguard mission critical
accounts and datasets to maintain uptime
- Turnkey business continuity capability that prevents cloud vendor lock-in
- Replicate and synchronize databases, accounts, pipelines and more from one place for resiliency, durability, and failover by choice or in a stressed event
- Keep up with changing regulations using regional locality controls
- Lift and shift operations between clouds as needed based on changes in business strategy
Learn More about
Cross-Cloud Snowgrid
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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.