Streaming Analytics is one of the most important parts of the IT infrastructure. It's not just about collecting data, it's also about processing that data and delivering actionable insights on time so that we can make business decisions faster than anyone else in the industry. A good Streaming Analytics platform will help to do all these things, but there's a tradeoff between flexibility and scalability. The ability to analyze streaming data sets enables businesses to take advantage of machine learning and artificial intelligence (AI) tools. It is a very important tool for modern day developers and it becomes one of the most rapidly evolving technologies in the programming world today.
A few of the most popular C# Streaming Analytics open source libraries for developers are: Trill - singlenode query processor for temporal or streaming data; azure-stream-analytics - Azure Stream Analytics; Fritz.StreamTools - Handy tools for managing my live stream, built with ASP.NET Core.