Data engineering·Cost, layout and query performance
you doubled the warehouse size, the query took half as long, and the bill was identical.
Warehouse sizing
Also calledcluster sizing, compute sizing
Choosing how much compute a workload gets, on a platform where cost is usually size multiplied by time. For a query that parallelises cleanly, a bigger warehouse is cost-neutral and finishes sooner; for one bottlenecked on a single skewed task it is pure waste. Sizing is therefore diagnostic — if doubling the size does not halve the time, the problem is skew or spill, and no amount of compute will fix it.