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No difference in performance between wiredtiger and in-memory engines, any idea why?
I've been testing Percona Server for MongoDB with focus on in-memory engine performance.
I've noticed that wiredtiger engine sometimes performs better than in-memory engine for insertOne and insertMany (10000 documents).
I tried installing on host OS and on docker and with default settings for each engine. I checked the tuning articles, while insightful they didn't offer an explanation to this weird performance of inMemory engine.
Note: I intend to use Percona Server for MongoDB for real-time persistence of inference results. The lifetime of documents won't exceed 30 minutes. In all tests I've used pymongo to execute queries.