Processing small amount of data at real time was never a challenge using technologies, such as the Java Messaging Service (JMS); however, these processing systems show performance limitations while dealing with large volumes of streaming data. Also, these systems are not good scalable solutions.
Storm is an open source, distributed, reliable, and fault-tolerant system for processing streams of large volumes of data in real time. It supports many use cases, such as real-time analytics, online machine learning, continuous computation, and Extract Transformation Load (ETL) paradigm.
There are various components that work together for streaming data processing, which are as follows: