You’re correct - I had no intention to compare with Python or start a debate - the extract was to highlight that he either didnt know of Julia or didnt consider it (despite aggrievances with Python). In so far as the benchmark - the article opens with the “one billion row challenge” with correspond…

The one billion row csv file can easily be processed in Julia using the existing duckdb entry. Obviously that solution doesn’t use CSV.jl. In my experience when running the same duckdb query, Julia started with multiple threads will be faster than python to return the results.

Billion-row benchmark?

General Usage Performance

Topic		Replies	Views
Speeding Up Query with a big dataset Data	9	1309	January 12, 2019
CSV Reader Benchmarks: Julia Reads CSVs 10-20x Faster than Python and R General Usage announcement	67	9754	December 2, 2020
Julia cookbook available New to Julia	13	1598	April 22, 2019
CSV read in is too slow than other language General Usage performance	13	1641	June 21, 2023
Very Slow `DBInterface.execute` on large duckdb relative to R Performance juliadb , database , duckdb	4	255	October 30, 2024

Billion-row benchmark?

Related topics