For the scenario you're targeting: databases, this makes a tonne of sense, database data regularly exceeds the size of RAM and the operations you want to do on the data are pretty static in the sense that they're the SQL operators.

In deep learning you are usually doing a lot more custom processing and your datasets are usually not as big, such that just buying more RAM is often cost effective.