Shulou(Shulou.com)05/31 Report--

Today, I will talk to you about the difference between redis and mongodb. Many people may not know much about it. In order to let you know more, Xiaobian summarized the following contents for you. I hope you can gain something according to this article.

MongoDB is more similar to MySQL, supporting field index and cursor operation. Its advantage lies in its powerful query function, good at querying JSON data, and capable of storing massive data, but it does not support transactions.

Mysql is significantly less efficient with large data volumes, and MongoDB is more often used as an alternative to relational databases.

Mongodb eats more memory because mongo requests memory at an exponential level of 2 when it finds that it is running low. It is generally recommended that mongodb be left alone.

In fact, it can be said that redis is more like a caching mechanism, cookies, can also set the expiration time of data, of course, can also be stored permanently (but it seems a little inferior?). Mongodb is document-based storage.

Memory management mechanisms:

All Redis data exists in memory and is written to disk regularly. When memory is insufficient, you can select the specified LRU algorithm to delete data.

MongoDB, like mysql, simply puts index files in memory. By linux system mmap implementation, when memory is not enough, only hot data into memory, other data storage disk.

Supported data structures:

Redis supports a wealth of data structures, including hash, set, list, etc.

MongoDB data structure is relatively simple, but supports rich data expression, index, most similar to relational database, support query language is very rich.

Performance:

Redis is more suitable for smaller data volume performance and calculation

Mongodb performs better under massive data access

Reliability:

Both support persistence.

Cluster:

MongoDB cluster technology is relatively mature, Redis from 3.0 began to support clustering.

N/A Scenario:

Requires complex SQL operations

transactional system

Applicable scenarios:

Redis Best Use Case: For applications where data changes quickly and database size is met (suitable for memory capacity).

MongoDB: Best use case: For applications that need dynamic query support; need indexes instead of map/reduce functionality; need performance requirements for large databases; need CouchDB but are full of memory because data changes too frequently.

After reading the above, do you have any further understanding of the difference between redis and mongodb? If you still want to know more knowledge or related content, please pay attention to the industry information channel, thank you for your support.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.