Java is one of the most popular programming languages in the world and it was released by Sun Microsystems. It is fast, secure and easy to use. Streaming Analytics is an analytical technique that allows you to process and analyze large volumes of real-time data as it arrives. In essence, it helps to detect anomalies, generate insights and take action on them all in real-time without any latency or delay. As data increases, streaming analytics for Java projects demands greater flexibility and power. Streaming analytics is the process of analyzing and acting on real-time data. This is essential in applications such as fraud detection and predictive maintenance. Some of the most popular Java Streaming Analytics Open Source libraries among developers are: AthenaX - SQLbased streaming analytics platform at scale; video-stream-analytics - architecture diagram for Video Stream Analytics application; streamline - StreamLine Streaming Analytics.
Java 2 Version:Current License: Strong Copyleft (GPL-3.0)