What is the difference between ehcache and redis

The differences between Ehcache and Redis are: the former is simple and easy to use, has fast access speed, and is more efficient but is not suitable for large-scale distributed cluster deployment. The latter is more suitable for big data caching, data recovery, etc.

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Ehcache introduction

EhCache is a pure Java in-process caching framework , with the characteristics of fast and capable. It is a widely used open source Java distributed cache. Mainly for general cache, Java EE and lightweight containers. In addition, Spring provides an abstraction of the cache function: that is, it allows binding different cache solutions (such as Ehcache), but it does not directly provide the implementation of the cache function itself. It supports using cache in annotation mode, which is very convenient.

Features of Ehcache

(1) Fast and simple, with multiple caching strategies

(2) There are two levels of cached data: memory and disk , the cached data will be written to the disk during the restart of the virtual machine

(3) Distributed caching can be performed through RMI, pluggable API, etc.

(4) With cache And the listening interface of the cache manager

(5) supports multiple cache manager instances and multiple cache areas of one instance. And provide Hibernate cache implementation

Redis introduction

Redis is an open source written in ANSI C language, supports the network, and can A log-type, Key-Value database based on memory that can also be persisted, and provides APIs in multiple languages. Redis is a key-value storage system. It supports many stored value types, including string (string), list (linked list), set (set), zset (sorted set - ordered set) and hash (hash type). These data types all support push/pop, add/remove, intersection, union, difference, and richer operations, and these operations are all atomic. Redis data is cached in memory. Redis will periodically write updated data to disk or write modification operations to additional record files, and on this basis, master-slave (master-slave) synchronization is achieved.

Features of Redis:

(1) Fast and durable. And all data of Redis is stored in memory.

(2) Support multiple data structures: String, List, Set, Hash, Zset

(3) Support multiple programming languages: Java, php, Python, Ruby, Lua , Node.js

(4) Rich in functions, in addition to supporting five data structures, it also supports transactions, pipelines, publish/subscribe, message queues and other functions.

(5) The master server (master) performs addition, modification, and deletion, and the slave server performs queries.

Comparison between Ehcache and Redis

	Ehcache	Redis
Access speed	Ehcache directly Cache in jvm virtual machine, fast and efficient	Redis accesses the cache service through socket, and the efficiency is lower than ecache
Cluster and distributed	Ehcache has a cache sharing solution, but it broadcasts cache notification updates through RMI or Jgroup multicast. Cache sharing is complex and inconvenient to maintain; simple sharing is possible, but it is not suitable when it involves cache recovery and big data caching.	Redis has a mature distributed solution. Suitable for large-scale distributed cluster deployment.
Operation complexity	The interface provided by Ehcache is very simple and clear. From the establishment of Ehcache to its operation, all it takes is a few of your precious minute. In fact, many developers don't know that they are using Ehcache. Ehcache is widely used in other open source projects. For example: Hibernate	requires at least the server and client to be installed before it can be used. The operation is slightly more complicated than Ehcache.

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