Event stream processing software allows for the processing of data on the fly, enabling users to properly store, manage, and analyze their streaming data. In contrast to batch processing which focuses on historical data, stream processing allows for the processing of data in real time. Event stream processing software gives users the ability to examine how their data has changed over time. It also helps users by providing insight into anomalies and trends in the data.
Event stream processing software, with processing at its core, provides users with the capabilities they need to integrate their data, for purposes such as analytics and application development. If the user is focused on data analysis, above and beyond processing, stream analytics software is a good solution to consider.
To qualify for inclusion in the Event Stream Processing category, a product must:
Connect to a wide range of core systems and provide the ability to process the data in real time
Offer the ability to analyze the processing of data to ascertain its performance
Allow users to visualize the data flow and ensure that data and data delivery is validated