Redis
In-memory data store for caching, sessions, and real-time features.
Redis is an open-source, in-memory data structure store used as a database, cache, message broker, and streaming engine. Operating entirely in memory, Redis delivers sub-millisecond response times for read and write operations, making it the fastest general-purpose data store available. Redis supports rich data structures, strings, hashes, lists, sets, sorted sets, streams, and more.
We use Redis for caching, session management, and real-time features across our applications. Redis dramatically improves application performance by caching database queries, API responses, and computed data that would otherwise require expensive recalculation. Redis is also essential for our queue systems (Bull, BullMQ) that process background jobs like email sending, image processing, and data synchronization.
What we use it for
- Application caching and query result caching
- Session storage for web applications
- Real-time leaderboards and counters
- Rate limiting and throttling
- Job queues and background processing
- Pub/sub messaging and real-time events
What it gives us
- Sub-Millisecond LatencyIn-memory operations deliver responses in under 1 millisecond for both reads and writes.
- Rich Data StructuresStrings, hashes, lists, sets, sorted sets, streams, and more for versatile data modeling.
- Pub/Sub MessagingBuilt-in publish/subscribe messaging for real-time notifications and event distribution.
- Persistence OptionsRDB snapshots and AOF logging for data durability while maintaining in-memory performance.
Questions we get asked
When should I use Redis?
Is Redis data persistent?
How much does Redis hosting cost?
Can Redis replace my database?
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