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Why Redis beats Memcached for caching

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Why Redis beats Memcached for caching Posted: Oct 21, 2014 1:29 PM
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Memcached or Redis? It's a question that nearly always arises in any discussion about squeezing more performance out of a modern, database-driven Web application. When performance needs to be improved, caching is often the first step employed, and Memcached and Redis are typically the first places to turn. 

These renowned cache engines share a number of similarities, but they also have important differences. Redis, the newer and more versatile of the two, is almost always the superior choice. But there are some key exceptions to this rule.

The similarities

Let's start with the similarities. Both Memcached and Redis are in-memory, key-value data stores. They both belong to the NoSQL family of data management solutions, and both are based on the same key-value data model. They both keep all data in RAM, which of course makes them supremely useful as a caching layer. In terms of performance, the two data stores are also remarkably similar, exhibiting almost identical characteristics (and metrics) with respect to throughput and latency. 

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