Snowflake'scompute layerusesMassively Parallel Processing (MPP), meaning queries are divided into smaller tasks distributed across multiple compute nodes in the Virtual Warehouse. Each node processes a portion of the data simultaneously, maximizing parallelism and drastically reducing query times.
Although Snowflake uses a central storage layer (shared-disk model), the compute engine behaves like ashared-nothing MPP system, where each node handles local processing independently, minimizing contention.
Incorrect options:
* Snowflake does not rely on single-thread execution.
* Storage optimization occurs at the Storage Layer, not compute.
* Snowflake does not use traditional shared-disk execution; compute nodes work in parallel independently.
This architecture enables high performance for large analytical workloads.