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Compare DuckDB, Polars and Pandas for generating an artificial dataset of persons and companies

License: MIT License

Python 100.00%
duckdb pandas polars

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use polars lazy api

I see you are running eager polars. E.g. using read_parquet. To do a fair comparison you must scan_parquet, write your query lazily and collect at the end.

Now duckdb can use query optimization, whilst polars cannot because you force every operation to execute immediately. That's not an apples vs apples comparison.

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