redis and memcached

Source: Punctuation Character Links: http://www.biaodianfu.com/redis-vs-memcached.html The Salvatore Sanfilippo, the author of Redis, has previously compared these two memory-based data storage systems: Redis supports server-side data operations: Redis has more data structures and supports richer data

, some of the common document databases are support Schema-free, directly store JSON format data, and support functions such as auto-sharding, such as MongoDB.In the face of these different types of nosql products, we need to choose the most appropriate product based on our business scenario.Redis application scenario, how to use it correctlyAs already analyzed, Redis is best suited for all data in-momory scenarios, although

When it comes to Redis, it's reminiscent of memcached and vice versa. The students who have known both have a general impression: Redis is more than just supporting simple key-value data types, but it also provides storage for data structures such as list,set,zset,hash, as compared to memcached, and a backup of

, some of the common document databases are support Schema-free, directly store JSON format data, and support functions such as auto-sharding, such as MongoDB.In the face of these different types of nosql products, we need to choose the most appropriate product based on our business scenario.Redis application scenario, how to use it correctlyAs already analyzed, Redis is best suited for all data in-momory scenarios, although

, some of the common document databases are support Schema-free, directly store JSON format data, and support functions such as auto-sharding, such as MongoDB.In the face of these different types of nosql products, we need to choose the most appropriate product based on our business scenario.Redis application scenario, how to use it correctlyAs already analyzed, Redis is best suited for all data in-momory scenarios, although

The difference between "turn" Redis and MemcachedProblems with traditional MySQL + Memcached architecturesIn fact, MySQL is suitable for massive data storage, through the Memcached to load hot data to the cache, speed up access, many companies have used such a structure, but with the increasing volume of business data, and the continued growth of traffic, we enco

free,auto-sharding and so on. For example, some of the common document databases are support Schema-free, directly store JSON format data, and support functions such as auto-sharding, such as MongoDB.In the face of these different types of nosql products, we need to choose the most appropriate product based on our business scenario.Redis application scenario, how to use it correctlyAs already analyzed, Redis is best suited for all data in-momory scen

In the use of Redis process, we found that a lot of redis different from the memcached, but also different from the characteristics of MySQL.(This article mainly discusses Redis is not enabled for VM support) 1. Schema MySQL: Need to design beforehandMemcached: No design requiredRedis: Small systems can be used, but if

Copyright belongs to the author.Commercial reprint please contact the author for authorization, non-commercial reprint please specify the source.SeamonLinks: http://www.zhihu.com/question/19645807/answer/12605611Source: KnowThey are in-memory database, the data is stored in memory, through TCP direct access, the advantage is fast, high concurrency, the disadvantage is that the data type is limited, the query function is not strong, generally used as a cache.To improve performance, the data saved

This article extensively references the difference between Redis and memcached.If you simply compare the differences between Redis and memcached, most of them will get the following ideas: Redis not only supports simple k/v types of data, but also provides storage of data structures such as List,set,zset,hash.

When it comes to Redis, it's reminiscent of memcached and vice versa. The students who have known both have a general impression: Redis is more than just supporting simple key-value data types, but it also provides storage for data structures such as list,set,zset,hash, as compared to memcached, and a backup of

Memcached or Redis? This has been a controversial topic in modern high-performance Web applications. When Web applications that are based on relational databases need to improve performance, using caching is the first choice for the vast majority of architects, and naturally, memcached and redis are often preferred.Com

memcached is a high-performance distributed memory object caching system for dynamic Web applications to offload database load. It provides a dynamic, database-driven site speed by caching data and objects in memory to reduce the number of times the database is read .Memcached based on aHashMap for storing key/value pairs。Redis is aa Key-value storage System, sim