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#2 Memcached
Simple, high‑performance, distributed memory caching system; ideal for transient key‑value data.
Highly scalable, fault‑tolerant NoSQL column store designed for massive write throughput.
#4 MongoDB
Document‑oriented database offering flexible schemas, rich queries, and built‑in replication.
Fully managed, serverless key‑value and document database with automatic scaling and global tables.
#6 Aerospike
High‑performance NoSQL database optimized for real‑time big data and low‑latency transactions.
#7 ScyllaDB
Drop‑in Apache Cassandra replacement written in C++; delivers lower latencies and higher throughput.
Distributed JSON document store with built‑in caching, full‑text search, and analytics.
Globally distributed, multi‑model database service supporting key‑value, document, graph, and columnar APIs.
#10 Etcd
Consistent, highly‑available key‑value store used for configuration and service discovery.
#11 Consul KV Store
Service mesh solution with a simple key‑value store for dynamic configuration and feature flags.
#12 Apache Zookeeper
Centralized service for maintaining configuration information, naming, and providing distributed synchronization.
#13 Hazelcast IMDG
In‑memory data grid offering distributed maps, queues, and caching with strong consistency options.
#14 Infinispan
Java‑based distributed in‑memory key‑value store and cache with optional persistence.
#15 RocksDB
High‑performance embedded key‑value store built on LevelDB, optimized for SSDs and fast reads/writes.
#16 LevelDB
Lightweight, fast key‑value library from Google; suitable for embedded use‑cases.
#17 Tarantool
In‑memory NoSQL database and application server with Lua scripting and replication.
#18 RethinkDB
Realtime, open‑source document database that pushes query results to applications.
#19 CouchDB
Schema‑free JSON document store with MVCC and built‑in replication/synchronization.
Robust relational DBMS; the pg_memcache extension adds a Redis‑like in‑memory cache layer.
Hybrid relational/columnar engine delivering analytical queries alongside transactional workloads.