5 best Java Streaming Analytics libraries in 2024
by marketing.admin@openweaver.com Updated: Feb 4, 2023
Guide Kit
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.
AthenaXby uber-archive
SQL-based streaming analytics platform at scale
AthenaXby uber-archive
Java 1219 Version:Current License: Permissive (Apache-2.0)
video-stream-analyticsby baghelamit
video-stream-analyticsby baghelamit
Java 278 Version:Current License: Permissive (Apache-2.0)
streamlineby hortonworks
StreamLine - Streaming Analytics
streamlineby hortonworks
Java 156 Version:v0.6.0 License: Permissive (Apache-2.0)
greycatby datathings
GreyCat - Data Analytics, Temporal data, What-if, Live machine learning
greycatby datathings
Java 101 Version:Current License: Permissive (Apache-2.0)
twitch-stream-analyticsby sulunemre
A stream processing project that analyzes the chat stream of a Twitch channel. Built on Apache Storm for CS442 Distributed Systems course.
twitch-stream-analyticsby sulunemre
Java 2 Version:Current License: Strong Copyleft (GPL-3.0)