Compute and Storage Separation

Compute and storage separation is a cloud architecture pattern that decouples processing and data storage layers, enabling independent scaling and flexible resource allocation. While popular in systems like Snowflake and BigQuery for cost optimization, this approach involves performance trade-offs compared to traditional OLAP systems where compute and storage are tightly coupled.