Reviewed by Sumit Sarabhai Fetching a million rows from SQL Server into a Polars DataFrame used to mean a million Python objects, a million GC allocations, and then throwing it all away to build a DataFrame. Not anymore. mssql-python now supports fetching SQL Server data directly as Apache Arrow structures - a faster and more memory-ef...

Reviewed by Imran Masud and Sumit Sarabhai When it comes to working with Microsoft SQL Server in Python, pyodbc has long been the de facto driver. It's mature, trusted and has been serving the community well for years. But as applications scale and Python becomes more central to modern data workflows — from microservices to data engin...