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MongoDB vs Redis

MongoDB and Redis are both listed under Databases in the DevPages directory. This page puts the details we hold for each of them side by side.

It does not score them and does not pick a winner. Fields the catalog has no value for say “Not recorded” rather than being filled in with a guess.

MongoDB vs Redis field by field

MongoDB, Redis compared field by field. Values are taken from the DevPages catalog; fields we hold no value for read “Not recorded”.
MongoDB
Redis
CategoryDatabasesDatabases
Pricing modelFreemiumOpen Source
Open sourceNot recordedYes
GitHub stars28.7K77.1K
Key features
  • Flexible document-based data model
  • Rich query language and aggregation
  • Horizontal scaling with sharding
  • ACID transactions across documents
  • Built-in replication and high availability
  • GridFS for large file storage
  • Text search and geospatial queries
  • Change streams for real-time updates
  • In-memory data storage with persistence
  • Rich data structures (strings, lists, sets, hashes)
  • Pub/Sub messaging system
  • Lua scripting support
  • Clustering and high availability
  • Streams for real-time data processing
  • Built-in replication
  • Atomic operations and transactions
Use cases
  • Web and mobile application backends
  • Content management systems
  • Real-time analytics and IoT
  • Product catalogs and inventory
  • User profiles and personalization
  • Event logging and monitoring
  • Agile development and prototyping
  • Multi-location data management
  • Application caching and session storage
  • Real-time analytics and leaderboards
  • Message queuing and pub/sub systems
  • Rate limiting and API throttling
  • Shopping carts and user sessions
  • Real-time chat applications
  • Geospatial applications
  • Machine learning model serving
Integrations
  • Node.js
  • Python
  • Java
  • C#
  • Express.js
  • Mongoose
  • Spring Data
  • Kubernetes
  • Node.js
  • Python
  • Java
  • PHP
  • Ruby
  • Docker
  • Kubernetes
  • Spring Boot
Tags
  • nosql
  • document
  • json
  • scaling
  • cloud
  • atlas
  • in-memory
  • cache
  • key-value
  • pub-sub
  • session-store
  • real-time
Links

What each one is

MongoDB

Document-oriented NoSQL database for modern applications

MongoDB is a leading NoSQL database that stores data in flexible, JSON-like documents. It's designed for modern application development with features like horizontal scaling, rich query language, and strong consistency. MongoDB is ideal for applications requiring flexible schemas and rapid development cycles.

Full MongoDB listing

Redis

In-memory data store used as database, cache, and message broker

Redis is an open-source, in-memory data structure store that can be used as a database, cache, streaming engine, and message broker. It supports various data structures like strings, hashes, lists, sets, and sorted sets. Redis is known for its exceptional performance, making it ideal for high-throughput applications.

Full Redis listing

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