3 ms·
It’s not clear to me why this would be faster than polars, duckdb, vaex or clickhouse. They seem to be taking the same approach of multithreading, optimizing th
by faizshah 2y ago
It’s not clear to me why this would be faster than polars, duckdb, vaex or clickhouse. They seem to be taking the same approach of multithreading, optimizing the plan, using arrow, optimizing the core functions like group by.
- mettamage 2y agoMaybe it isn’t? Maybe they just want a fast pandas api?
- geysersam 2y agoAccording to their benchmarks they are faster. Not by a lot, but still significantly.
- maleldil 2y agoNone of those drop-in replacements for Pandas. The main draw is "faster without changing your code".
- faizshah 2y agoI’m asking more about what techniques did they use to get the performance improvements in the slides. They are showing a 20-30% improvement over Polars, Clickhouse and Duckdb. But those 3 tools are SOTA in this area and generally rank near eachother in every benchmark. So 20-30% improvement over that cluster makes me interested to know what techniques they are using to achieve that over their peers.