The difference between MongoDB and Redis

Brief introduction

MongoDB is more like MySQL, Support for field indexing, cursor operations, the advantage is that the query function is more powerful, good at querying JSON data, can store large amounts of data, but does not support transactions.

MySQL is significantly less efficient when it comes to large amounts of data, and MongoDB more time as an alternative to relational databases. Memory management mechanism

Redis data is all in memory, periodically written to disk, and when there is not enough memory, you can select the specified LRU algorithm to delete the data.

MongoDB data exists in memory, implemented by Linux system Mmap, when there is not enough memory, only the hotspot data is put into memory and the other data is on disk. Supported data Structures

Redis supports a wealth of data structures, including hash, set, list, and so on.

MONGODB data structure is relatively single, but support rich data expression, index, most similar relational database, support query language is very rich. Performance

Both performance is relatively high, it should be said that will not be a bottleneck. Reliability

Both support persistence. Cluster

MongoDB cluster technology is relatively mature, redis from 3.0 to support the cluster. Scenario Not applicable

Ø need to use complex SQL operations

Ø Transactional Systems