Apache Storm – Taking The Big Data World By Storm

Apache Storm – Taking The Big Data World By Storm

A tough question for organizations having loads and lots of data piled up is how to manage it and cull out valuable information from it. One of the most reliable, high performance framework recognized today is Apache Storm. It is a known name in the Big Data industry as a free, open source, real time, distributed framework capable of processing huge bulk of data. It possesses efficient stream processing capabilities and has a niche clientele today around the world. The highlight of Storm is its real time data processing computation system. Streaming data in parallel over a cluster is the mechanism by which it works and hence is quite fast.

Taken over by Apache a few years back, now it has risen to be an Apache Top-Level Project (TLP). Seeing its security, multi-tenancy support and enhanced scalability, elite organizations like Yahoo have adopted Storm and are happily implementing it further. Storm is known for adding real time data processing capabilities to Apache Hadoop 2.x, in which it focuses on assisting Hadoop to acquire new projects which contain low latency dashboards and third party integration with applications running in the Hadoop cluster.

Why is Storm Popular?