IN-MEMORY STORAGE
Redis
Eliminate database bottlenecks with sub-millisecond response times. Powered by the world's most popular in-memory data store.
Sub-ms
Latency Ops
5M+
Docker Pulls
Native
Pub/Sub
High
Availability
REDIS ECOSYSTEM
Performance without Compromise
We implement Redis as a cache, message broker, and database to ensure instantaneous responses.
Cache & Performance
Reducing load on the primary database.
Distributed Cache
Query acceleration and scalable session storage.
Data Structures
Efficient use of sets, hashes, and lists for complex logic.
Cache Eviction
Smart policies like LRU for memory optimization.
REDIS FLOW
The Redis Lifecycle
Attach
Integration as a cache layer for frequently accessed data.
Scale
Cluster use to support petabytes of data and millions of OPS.
Persist
Smart configuration of snapshots (RDB) and logs (AOF).
Redis FAQ
Is Redis only used for caching data?
While it's the gold standard for caching, Redis is increasingly used as a primary database for real-time leaderboards, session management, and real-time analytics.
How does Redis ensure data isn't lost on restart?
By using RDB (point-in-time snapshots) and AOF (append-only logs), Redis provides the perfect balance between high-speed and data durability.
What is the primary benefit of Redis Streams?
Streams allow you to ingest and process high-speed data events across microservices with high reliability and ordered delivery.