Jakub Kmeťko

We needed to incorporate Big Data Framework for data stream analysis, specifically Apache Spark / Apache Storm. The three options of languages were most suitable for the job - Python, Java, Scala.

The winner was Python for the top of the class, high-performance data analysis libraries (NumPy, Pandas) written in C, quick learning curve, quick prototyping allowance, and a great connection with other future tools for machine learning as Tensorflow.

The whole code was shorter & more readable which made it easier to develop and maintain.

I was researching multiple high performance, concurent//parallel languages for the needs of authentication and authorization server, to be built on microservice architecture and Linux OS. Node.js with its asynchronous behavior and event loop suits the case best. Python Django & Flash turns to be slower and .NET Core & Framework wasn't the best choice for the Linux environment at the time (summer 2018).

I also tested Go lang and Rust, although they didn't meet the quick prototyping criteria as both languages are young and lacking libraries or battle-tested ORM.