Decoupled scales, but you end up replicating the dataset in compute node caches, which is expensive. Ideally you want scalable storage with compute (assuming r

Decoupled scales, but you end up replicating the dataset in compute node caches, which is expensive. Ideally you want scalable storage with compute (assuming really large datasets), so you can move the computation, which usually is small, close to the data. In any case, it's not one size fits all, and each problem space matters.