None of those drop-in replacements for Pandas. The main draw is "faster without changing your code".
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.