Snowflake AI Data Cloud Features & Architecture1 / 5
What are the three main architectural layers of Snowflake's multi-cluster shared data architecture?
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Alex
Snowflake uses a multi-cluster shared data architecture with three distinct layers: (1) Storage — centralized, compressed columnar storage with automatic micro-partitioning; (2) Compute — independent virtual warehouses (MPP clusters) that scale independently; (3) Cloud Services — handles authentication, metadata, query optimization, access control, and infrastructure management. This design enables independent scaling of each layer. The option “Presentation, Application, Database” describes a traditional three-tier application model. The option “Ingestion, Processing, Output” describes a generic data pipeline. The option “Network, Compute, Application” lists generic IT infrastructure components, not Snowflake-specific layers. Ref: docs.snowflake.com/en/user-guide/intro-key-concepts
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