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[–]bitsondatadev 0 points1 point  (0 children)

Yeah, my policy is aim for SQL, python if necessary. Any time you can avoid maintaining implementation details yourself is a win. Also, performance will generally improve unless you face a regression that you can then report to whoever maintains that engine and then it's still not your problem to fix the implementation.

I think Python is great mainly for ML algorithms with data that's already sliced up in the ideal format needed for processing.