I personally find polars easier to read/write than sql. Especially when you start doing UDFs with numpy/et. al. I think for me, duckdb's clear edge is the cli experience.

> It is faster to write and faster to read

At least on clickbench, polars and duckdb are roughly comparable (with polars edging out duckdb).

I use them both depending on which feels more natural for the task, often within the same project. The interop is easy and very high performance thanks to Apache Arrow: `df = duckdb.sql(sql).pl()` and `result = duckdb.sql("SELECT * FROM df")`.