Apache Storm is a distributed real-time big data-processing system. Storm is designed to process vast amounts of data in a fault-tolerant and horizontal scalable method. It is a streaming data framework that has the capability of highest ingestion rates. Though Storm is stateless, it manages distributed environment and cluster state via Apache ZooKeeper. It is simple and you can execute all kinds of manipulations on real-time data in parallel.
Apache Storm is continuing to be a leader in real-time data analytics. Storm is easy to set up, operate and it guarantees that every message will be processed through the topology at least once.
The following are the features of Apache Storm:
It is an open source and a part of Apache projects.
It helps to process big data.
It is a fast and reliable processing system.
It can ingest high volume and high-velocity data.
It is highly parallelizable, scalable, and fault-tolerant.
Storm is open source, robust, and user friendly. It could be utilized in small companies as well as large corporations.
Storm is fault tolerant, flexible, reliable, and supports any programming language.
Allows real-time stream processing.
Storm is unbelievably fast because it has enormous power of processing the data.
Storm can keep up the performance even under increasing load by adding resources linearly. It is highly scalable.
Storm performs data refresh and end-to-end delivery response in seconds or minutes depending upon the problem. It has very low latency.
Storm has operational intelligence.
Storm provides guaranteed data processing even if any of the connected nodes in the cluster die or messages are lost.
