Pandas vs Polars vs DuckDB Benchmark
A comprehensive benchmark of Pandas, Polars, and DuckDB on a 16GB laptop processing 13.1 million rows (Susenas 2024). Demonstrated 98% memory reduction and 100x speedup using modern libraries. Includes detailed performance analysis across filtering, aggregation, and join operations.
Proof points
- 13.1M Rows
- 98% Less RAM
- 100x Faster
Technologies
Python, Pandas, Polars, DuckDB, Jupyter Notebook