* https://docs.aws.amazon.com/AmazonRDS/latest/PostgreSQLRelea...
* https://docs.aws.amazon.com/AmazonRDS/latest/AuroraPostgreSQ...
The Polars homepage links to the "Database-like ops benchmark" of {Polars, data.table, DataFrames.jl, ClickHouse, cuDF*, spark, (py)datatable, dplyr, pandas, dask, Arrow, DuckDB, Modin,} but not yet PostgresML? https://h2oai.github.io/db-benchmark/
A suggestion: clean up the blog post's charts and headers to make it much, much more clear that what's being compared isn't python vs postgresml.
Everything else is just speculation.
https://www.postgresql.org/docs/current/plpython.html
Naturally Rust or C functions will still be faster.
body = request.json
key = json.dumps(body)
in the prediction code to begin with: https://github.com/postgresml/postgresml/blob/15c8488ade86b0...