Get a connection string and start caching. Sub-millisecond reads, automatic failover, and zero cluster management.
In-memory storage
Provision Redis clusters for caching, session storage, and pub/sub messaging. Automatic failover, scaling, and persistence handled without operations overhead.
Capabilities
In-memory operations with single-digit millisecond response times. Cache frequently accessed data for instant retrieval.
Strings, lists, sets, sorted sets, hashes, and streams. Use the right structure for each use case.
Replica nodes promote automatically when primary fails. Applications reconnect without code changes or manual intervention.
Scale memory and throughput by resizing instances. Add replicas for read scaling without data migration.
Set expiration on keys automatically. Expired data cleans up without manual garbage collection.
TLS encryption in transit and at-rest encryption for persistent data. Secure by default.
TLS encryption in transit and at-rest encryption for persistent data. Secure by default.
Typical read/write time
With automatic failover
Per cluster node
Why it matters
Provision a Redis cluster in minutes. Get a connection string. Use your existing Redis client library. Failovers, backups, and scaling happen automatically.
Store user sessions with 24-hour TTL. Sessions expire automatically without cleanup jobs. Scale to millions of concurrent sessions by resizing the cluster.
Cache database query results with appropriate TTLs. After a deployment, the cache is still warm. No cold start spike hits your database.
Built for Your Workflow
Cache frequently accessed data in MemoryStore with configurable TTLs. Check cache before querying the database; write results to cache on miss. Sub-millisecond access improves response times.
Reduce database load and improve response times with fast cache access.
Store sessions in MemoryStore with automatic TTL expiration. Use hash structures for session data and set expiration times that clean up automatically.
Manage millions of sessions without operating session storage infrastructure.
Use atomic increment operations with automatic expiration for rate limiting counters. Increment the counter, set expiration on first use, and check the count before processing requests.
Build rate limiting in minutes with atomic operations that handle concurrency.
Use sorted sets for real-time leaderboards. Add scores with O(log N) operations and query top rankings or a user's rank instantly.
Build real-time leaderboards without complex database queries.
Start building with Conjoin today. Free tier includes everything you need to prototype and launch. Scale when you're ready.