I have in my hands a pretty interesting BI project for a big company. So far, the proposal on the table has been .NET and SQL Server, but I am wondering if I should at least try to give python a chance. Pandas is a great library, with great people working on it. Django the same. On the other hand, .NET has lots of professional (aka: with paid licenses) libraries that seem more fit for an enterprise project. Looking from a company perspective, the drawback python has is, strangely, the lack of paid for alternatives. It&#x27;s not that people in companies don&#x27;t trust open source (hadoop is becoming big here too), but one wonders if the developers will be able to find the support they need in case any issue arise from a free library.