Reports 13 Min Read

How to Scale RealTime Streaming Data Applications Without Breaking the Bank

Until recently, so-called real-time data processing techniques were too laggy to deliver these answers, particularly at the scale required. Any increase in the speed and volume of data, the number of streams processed, or the amount of data required to add crucial context would slow down output. The only way to compensate for this slowdown was to increase compute and data storage capacity. This strategy quickly became cost-prohibitive without actually delivering truly real-time results.

Enter modern streaming data applications, capable of processing data from multiple data streams and databases and delivering truly real-time results in a fully contextualized, human-readable format. In this ebook, we’ll show you how a modern approach using stateful entities, streaming APIs, and real-time UIs can help you build applications that process real-time data at scale — minus the exorbitant costs.