Data Engineering
Build reliable, continuous data pipelines for the enterprise in the language of your choice.
Product
Accelerate time to data and AI innovation on a fully managed, enterprise-ready platform that is easy to use, connected across your entire data and AI estate, and trusted by thousands.




use cases
Benefits
Save time and money with a single fully managed platform for all workloads that is scalable, self-improving and has built-in FinOps for optimal cost efficiency
Accelerate strategic decision-making and unlock new business opportunities with an open architecture that provides direct access to the most complete ecosystem of AI-ready data, apps and agentic products.
Protect your assets and brand reputation by reducing compliance and security risks. Power your most mission-critical data, apps and AI workloads with enterprise-grade security, governance, observability and business continuity/disaster recovery controls across regions and clouds.
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Snowflake Platform
Get common questions answered about the Snowflake platform and its capabilities.
Yes, the Snowflake platform is a fully managed service with many serverless capabilities. While you configure virtual warehouses, Snowflake handles the underlying infrastructure, scaling and maintenance.
Yes, Snowflake supports multi-cloud and cross-region operations. It’s available on major cloud providers (AWS, Azure, GCP) across numerous global regions. Snowflake’s Snowgrid enables cross-cloud and cross-region data sharing, replication for business continuity, and a consistent experience independent of the underlying cloud.
Yes, Snowflake has built-in security and governance features. This includes end-to-end encryption, role-based access control (RBAC), network policies, multi-factor authentication and data masking. Snowflake Horizon Catalog provides a unified governance solution with features like data discovery, compliance tools, access history and object tagging.
The two primary cost drivers are compute and storage. For compute resources, Snowflake employs a consumption-based model. Storage costs are based on the amount of data (measured in terabytes per month) stored within Snowflake. To get a detailed breakdown of our pricing and see our consumption table, we encourage you to visit the Snowflake Pricing Page for the most up-to-date and comprehensive information.
Yes, Snowflake offers a unified Cost Management Interface that allows you to see, control and optimize your Snowflake spend, serving as a built-in tool for FinOps. This interface also helps you easily check insights to proactively save on costs.
Snowflake offers several observability capabilities to monitor your account and workloads, including:
Foundation observability capabilities: Metrics, traces, logs, notifications and alerts
Infrastructure observability: Optimize Snowflake costs and performance through better resource utilization insights.
Pipeline observability: Help ensure reliable data delivery by proactively identifying and fixing pipeline failures.
Application observability: Quickly pinpoint and resolve bottlenecks in applications interacting with Snowflake.
AI observability: Accelerate AI development by confidently evaluating and improving AI agents and apps.
These features help in monitoring performance, troubleshooting and managing costs.