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Redis is an open source, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
You can run atomic operations on these types, like appending to a string; incrementing the value in a hash; pushing to a list; computing set intersection, union and difference; or getting the member with highest ranking in a sorted set.
In order to achieve its outstanding performance, Redis works with an in-memory dataset. Depending on your use case, you can persist it either by dumping the dataset to disk every once in a while, or by appending each command to a log.
Redis also supports trivial-to-setup master-slave replication, with very fast non-blocking first synchronization, auto-reconnection on net split and so forth.
Other features include a simple check-and-set mechanism, pub/sub and configuration settings to make Redis behave like a cache.
You can use Redis from most programming languages out there.
Redis is written in ANSI C and works in most POSIX systems like Linux, *BSD, OS X and Solaris without external dependencies. There is no official support for Windows builds, although you may have some options.
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Redis is a rich noSQL database that presents itself as a TCP Server. Basically, you interact with him through a driver directly over the wire. Its in-memory model is really efficient, and can be backed-up to the file system. If you want to use it as a cache, you can remove the background save to disk. If you prefer to use it as a persistent data store, its powerful backup policies are also interesting. Redis does not offer sharding, but is easy to configure in a master-slave configuration.
Redis is written in C, it's a single-core application that will run on one core, exactly like a Node.JS server. I recommend Redis if you want to use advanced data structure such as Set, List, Hash, String and Queue. There's also a simple publish/request system, and there's support for Transaction, that will ensure that a set of operations is executed atomatically.
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it is very imprescindible on big projects, not all is with database relational.