Accessing SQL server: using python: best way to ingest SQL tables because pandas can't handle tables that big?

Accessing a sql server, using pyodbc, trying to get sql tables which I would like to merge into one csv/parquet or anything like that.

Pandas is too slow when using the pd.read_sql
; what's my other alternative that I can use to ingest the table? Dask? Duckdb? Something directly from the pyodbc?

big csv dask datascience duckdb merge pandas parquet python server sql table tables