[arnon]

CUDA by itself brings easy-to-run parallel algorithms. It's not of much value for databases unless you have a proper infrastructure set up to use it correctly. Same is true for columnar aspects, for example.

People have been building columnar databases to do analytics quickly. GPUs (with CUDA) can run analytics operations (think join, group by, math, sorting) on columnar data in a much more efficient manner. They're designed for operations on vectors, which columns are.

We've been doing this ourselves too with SQream DB: https://sqream.com. It's an enterprise data warehouse with GPU acceleration. We use CUDA exclusively too.