MongoDB and Redis are both open-source NoSQL databases, but there are several key differences between them:
1. Data Structure: MongoDB stores data in a document-oriented model where data is represented as a collection of JSON-like documents. On the other hand, Redis stores data as key-value pairs where every key is associated with a complex data structure.
1. Data Persistence: MongoDB is disk-based, meaning data is stored in the hard disk to ensure data persistence. Redis, by contrast, stores data in-memory, which allows for faster read/write operations but is more limited in capacity.
1. Scaling: MongoDB scales horizontally by adding more servers for larger data sets, while Redis scales vertically, which means it requires a larger individual server as data grows.
1. Use Cases: MongoDB is typically used in content management systems and mobile applications due to its document-based storage and versatile query language. Redis is typically used for caching data, real-time analytics, and queue management because of its speed and support for multiple data types.
1. Transactions – MongoDB supports multi-document transactions while Redis supports transactions but those are limited compared to typical relational databases.
1. Replication: Both MongoDB and Redis support replication, but in a bit different manner. MongoDB supports automatic sharding and native replication, while Redis supports master-slave replication.
