Why does sklearn.Pipeline with regex outperform spacy for text preprocessing?

This question is about computational efficiency for natural language text preprocessing. Probably not the ideal sub for this, but I've struck out everywhere else, and I really need help. So here goes nothing...

# TL;DR

I need help selecting between `spacy` and `sklearn` for processing a huge text corpus. I ran a test to measure the performance of each, but the results were unexpected. Moreover, because I'm new-ish to the frameworks involved, I lack confidence that my test is completely …

datascience pipeline regex sklearn spacy text