Apache Storm: An Overview

Apache Storm is a distributed real-time computation system for processing data streams that is open-source. Apache Storm is a real-time, distributed computing system that is widely used in Big Data Analytics. Apache Storm performs unlimited streams of data in a reliable manner, similar to what Hadoop does for batch processing. It is an open-source platform as well as free. In a fraction of a second, Apache Storm can handle over a million jobs on a single node. To get better throughputs, it is connected with Hadoop. Apache Storm is well-known for its incredible speed. It's very simple to set up and also can work with any kind of programming language. It processes over a million tuples per second per node, making it significantly quicker than Apache Spark. Nathan Marz created the storm as a back-type project, which was later acquired by Twitter in 2011. Apache Storm prioritizes scalability, fault tolerance, and the processing of your data. The storm was made public by Twitter in 2013 when it was uploaded to GitHub. The storm was then accepted into the Apache Software Foundation as an incubator project in the same year, delivering high-end applications. Apache is simple to install and use, and it can work with any programming language. Since then, Apache Storm has been able to meet the needs of Big Data Analytics. Learn more about Apache Storm and how it meets the requirements of big data, data analytics , etc at Learnbay.co institute.

Aisha Goel ∙

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∙ 3y ago