Data & Storage
Redis
In-memory storage for caching, sessions, and things that need to be fast.
Where This Fits
Some data doesn't belong in a relational database: session tokens, rate-limit counters, job queues. Redis handles those in-memory, at speeds a disk-backed database can't match, on engagements where that performance actually matters.
How It's Typically Deployed
Sits alongside PostgreSQL in most of our application architectures, typically handling caching and queueing rather than being a primary datastore.
More in Data & Storage
Building something that needs Redis?
Tell us what you're working on. We'll tell you honestly whether it's the right fit.
Start a Conversation