Sign In
Caching Databases
A curated collection of the best in-memory caching databases for fast data access, deduplication, and rate limiting in scraping pipelines.
Quick answer
Caching databases trade features for latency and operational fit. Redis is the default starting point for queues, counters, locks, and cache keys, Memcached fits simple ephemeral caching, and KeyDB fits teams evaluating a multithreaded Redis-compatible fork.
Top picks in Caching Databases
Redis
DefaultFits scraping systems that need cache keys, deduplication sets, counters, rate-limit state, locks, and queue backing stores.Memcached
Simple cacheFits simple ephemeral key-value caching where persistence, streams, and richer data structures are not required.KeyDB
Multithreaded forkFits teams that want Redis-compatible commands while evaluating multithreaded execution and active-replica patterns.
