Covering Disruptive Technology Powering Business in The Digital Age

This article was originally published by insidebigdata.com and can be viewed in full here

Redis, it is an open source, in-memory data structure server. Originally conceived to solve a problem that required speed and simplicity, it soon became clear that Redis had applications far beyond its original intent. Redis has since grown to include many data structures that resolve very complex programming problems with simple commands executed within the data store – reducing coding effort, increasing throughput and reducing latency, to the extent that it is now benchmarked as the fastest database in the world.

However, many question why something that runs in a computer’s memory, and is by definition equipped to handle small data, being used in big data scenarios? Redis has many use cases for big data scenarios – primarily advanced by its extreme performance, simplicity and above all, versatility.

Redis runs extremely efficiently in memory and handles extraordinarily high-velocity data easily, needing very few simple standard servers to deliver millions of operations per second with sub-millisecond latency.

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