It would depend on where most of the processing is happening.

PostGIS gives you the benefit of spatial indexes which are extremely performant.

I've seen Python GeoSpatial applications taking hours to finish processing which only took a few minutes when shifted onto PostGIS.

If you're also doing a lot of processing in Python, exploring other languages could also help. In the case of Julia you get a typed language that's also JIT compiled.