Data
Sub-millisecond caching, queues and real-time data
The in-memory layer behind fast APIs and real-time apps.
Overview
Redis powers caching, rate limiting, sessions, queues and real-time pub/sub across our stack. We deploy it managed (Upstash, ElastiCache, Redis Cloud) or self-hosted, tuned for the access pattern.
Key features
- In-memory key-value store
- Streams, sorted sets, hashes, bitmaps
- Pub/sub and keyspace notifications
- Persistence with RDB and AOF
- Cluster mode for horizontal scale
- Modules: RedisJSON, RediSearch, RedisTimeSeries
Business benefits
- Sub-millisecond latency
- Reduces database load dramatically
- Simple, well-understood operations
- Perfect for real-time workloads
Common use cases
API response caching
Session stores
Rate limiting and throttling
Job queues (BullMQ)
Leaderboards and counters
Real-time pub/sub
Redis development services we offer
Cache architecture and invalidation strategies
BullMQ / Sidekiq queue setup
Rate limiting at edge or app layer
Redis cluster deployment and monitoring
Managed Redis migrations
Industries we support
FintechSaaSGamingAdTech
Related technologies
Frequently asked questions
Redis Cloud, Upstash or self-hosted?
Upstash for serverless workloads, ElastiCache for AWS-native apps, self-hosted only when data sovereignty demands it.
Ready to build with Redis?
Tell us about your project. We'll come back within one business day with a proposal and timeline.