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HomeDatabaseMongoDBRedis, mongodb, memcached difference

Redis, mongodb, memcached difference

Apr 12, 2025 am 07:45 AM
redismongodbthe differenceSocial networkkey value pair

The difference between Redis, MongoDB, and Memcached: Data model: Redis is a key-value store, MongoDB is a document-type database, and Memcached is a key-value store. Data persistence: Redis default memory storage, optional persistence; MongoDB default persistence, memory mapped files can be used; Memcached does not persist. Access mode: Redis reads and writes quickly, MongoDB supports query updates, and Memcached only supports key-value pair operations. Scalability: Redis can be horizontally scalable, MongoDB can be sharded replication and extension, and Memcached has limited scalability. Use case: Redis is suitable for cache, counter and other scenarios; M

Redis, mongodb, memcached difference

The difference between Redis, MongoDB and Memcached

Redis, MongoDB, and Memcached are popular NoSQL databases for different purposes. There are several key differences between them:

1. Data Model

  • Redis: Key value storage, where the key is a string, and the value can be of various data types (such as strings, hashs, lists, collections).
  • MongoDB: A document-oriented database where data is stored in a JSON document called a "document."
  • Memcached: Distributed key-value storage, specially used to cache key-value pairs.

2. Data persistence

  • Redis: Data can be stored on the hard disk with optional persistence, but it is in memory by default.
  • MongoDB: Persist data to disk by default, but can also be configured to use memory mapped files.
  • Memcached: No data persistence is provided, and its contents are lost when the server restarts.

3. Access mode

  • Redis: Provides fast read and write access to data.
  • MongoDB: supports query, update and delete operations, similar to relational databases.
  • Memcached: Only simple set, get and delete key-value pair operations are supported.

4. Scalability

  • Redis: Can scale horizontally to process larger data volumes.
  • MongoDB: Can be extended by sharding and copying.
  • Memcached: Scaling by adding more servers, but provides limited scalability.

5. Use cases

  • Redis: cache, session management, rankings, counters.
  • MongoDB: application backend, content management system, social network.
  • Memcached: Website cache, application cache, database cache.

Summarize

Redis, MongoDB, and Memcached are unique NoSQL databases used in different situations. Redis is ideal for applications that require quick access and data persistence. MongoDB is suitable for applications that require complex queries and data models. Memcached is useful for applications that require simple cache and low latency.

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