Hi, I'm the original author of the QuestDB Python client library and benchmark.
It all started when we had one of our users needing to insert quite a bit of data into our database quickly from Pandas. They had a dataframe that took 25 minutes to serialize row-by-row iterating through the dataframe. The culprit was .iterrows(). Now it's a handful of seconds.
This took a few iterations: At first I thought this could all be handled by Python buffer protocol, but that turned out to create a whole bunch of copies, so for a number of dtypes the code now uses Arrow when it's zero-copy.
The main code is in Cython (and the fact that one can inspect the generated C is pretty neat) with supporting code in Rust. The main serialization logic is in Rust and it's in a separate repo: https://github.com/questdb/c-questdb-client/tree/main/questd....
