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Redis is often used as a cache, although it offers a lot more than just in-memory caching (it supports persistence, for instance).
What are the reasons why one would choose to use Redis rather than the .NET MemoryCache? Persistence and data types (other than key-value pairs) come to mind, but I'm sure there must be other reasons for using an extra architectural layer (i.e. Redis).
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Memcached, MongoDB, RabbitMQ, Hazelcast, and Cassandra are the most popular alternatives and competitors to Redis.
Redis vs MongoDB Speed MongoDB is schemaless, which means that the database does not have a fixed data structure. This means that as the data stored in the database gets larger and larger, MongoDB is able to operate much faster than Redis.
Redis vs. Both Redis and Memcached are in-memory, open-source data stores. Memcached, a high-performance distributed memory cache service, is designed for simplicity while Redis offers a rich set of features that make it effective for a wide range of use cases.
Redis uses a single core and shows better performance than Memcached in storing small datasets when measured in terms of cores. Memcached implements a multi-threaded architecture by utilizing multiple cores. Therefore, for storing larger datasets, Memcached can perform better than Redis.
MemoryCache is embedded in the process , hence can only be used as a plain key-value store from that process.
An seperate server counterpart of MemoryCache would be memcached.
Whereas redis is a data structure server which can be hosted on other servers can interacted with over the network just like memcached , but redis supports a long list of complex data types and operations on them, to provide logical and intelligent caching.
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