zlacker

>>redbel+(OP)

  "In Python, most of the bottleneck comes from having to fetch and deserialize Redis data."

This isn't a fair comparison. Of freaking course postgres would be faster if it's not reaching out to another service.

>>chaps+b5
As a contributor, I think it's interesting when comments focus on the language (Python vs Rust) vs the architecture (local vs remote). Inference is embarrassingly parallelizable, with Python Flask or Postgres replicas. I think the interesting thing is that data retrieval costs tend to dominate other costs, and yet are often ignored.

ML algorithms get a lot focus and hype. Data retrieval, not as much.

>>montan+b7
that is reason many older developer tend to do everything biz logic etc all in db store procedure/functions/view, etc. The cost of getting the data is native, no connection pooling needed, and with V8/python integration in the PG, it is non trivial what language you use. If you are dealing with large amount of data in a db, why not just do everything there. DB like sql has cursor, merge, that makes manipulating large set of data much easier than moving it on to another language environment.