An ultra-fast key-value store for caching and realtime features.
Redis is an extremely fast store that keeps its data in memory and therefore returns answers in fractions of a second. It is more than a simple cache and knows its own data structures like lists, sets, sorted sets and streams. We use it to take load off the actual database, manage sessions in it and rely on it for messaging between services. Wherever minimal delay matters, it is a dependable helper working away in the background.
More in the documentationWe put Redis in front of your database when the same queries keep recurring or a list simply gets recomputed too often. It also serves us as a session store and as the backend for job queues, so long-running tasks never keep your users waiting.
SET session:42 "active" EX 3600
TTL session:42
GET session:42Good to know
Always set a TTL on cache entries and plan an eviction strategy. Without expiry the memory quietly fills up until Redis, on hitting its limit, evicts keys or rejects writes.
More tools we work with in the same area.
PostgreSQL
Our first choice for relational data, powerful and reliable.
MySQL & MariaDB
Proven relational databases for classic applications.
MS SQL Server
For enterprise environments and Microsoft integrations.
MongoDB
A flexible document database for unstructured or growing data.
Supabase
Postgres with auth, storage and realtime as a backend-as-a-service.
SQLite
An embedded, serverless database, ideal for edge and local apps.
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