In-memory stores, caching layers, and key-value databases for high-performance apps.
Building caching & in-memory from scratch takes roughly 1 week and ~35,000 tokens of AI-assisted development. Or use one of these developer tools and ship today.
| Tool | Price | Upvotes | Replaces |
|---|---|---|---|
|
Redis
In-memory data store for caching, queues, and real-time apps.
|
Free | 1 | Memcached,Amazon ElastiCache |
|
Cache
Doctrine Cache component
|
Free | 0 | |
|
cacheme
Schema based, typed Redis caching/memoize framework for Go
|
Free | 0 | |
|
Dragonfly
Modern Redis replacement. 25x faster, multi-threaded.
|
Free | 0 | Redis,Memcached |
|
Memcached
Distributed memory caching system. Simple and battle-tested.
|
Free | 0 | Amazon ElastiCache |
|
lru-cache
Fast LRU cache for Node.js — used by npm itself
|
Free | 0 | |
|
Bigcache
Efficient cache for gigabytes of data written in Go.
|
Free | 0 | |
|
Redis MCP Server
Natural language interface for Redis data management
|
Free | 0 | |
|
KeyDB
Multi-threaded Redis fork with active replication.
|
Free | 0 | Redis |
|
lru-cache
High-performance LRU cache for JavaScript
|
Free | 0 |
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