Redis
In-memory data store used as database, cache, and message broker
About Redis
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.
Key Features
- 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
- 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
Redis alternatives
- Memcached
- Hazelcast
- Apache Ignite
- KeyDB
Guides covering Redis
FastAPI vs Express vs Django vs Go: Choosing a Backend Framework in 2026
A comparison built on concurrency models, type systems, ecosystems, and deployment stories — not on synthetic benchmarks that won't predict your application's behaviour anyway.
9 min readPostgreSQL vs MongoDB vs Redis: How to Actually Choose in 2026
PostgreSQL, MongoDB, and Redis solve different problems with different data models and durability guarantees. A practical comparison of what each one actually promises — and when each is the wrong tool.
9 min read
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Tags
- in-memory
- cache
- key-value
- pub-sub
- session-store
- real-time