For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
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A flexible distributed key-value database that is optimized for caching and other realtime workloads.
An efficient, small mobile key-value storage framework developed by WeChat. Works on Android, iOS, macOS, Windows, POSIX, and OHOS.
🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
- multi-model
- graph-database
- document-database
- key-value
Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.
- cache
- cache-storage
- cluster
- concurrent
Open-source, low-latency key/value engine built on Valkey with query subscriptions and hierarchical storage tiers.
Riak is a decentralized datastore from Basho Technologies.
Language model search engine built on a vector database and an anything key/value store.
- information-retrieval
- search-engine
- vector-space-model
- machine-learning
A high performance, shared memory, lock free, cross platform, single file, no dependencies, C++11 key-value store
Embeddable and distributed in-memory alternative to Redis.
- cluster
- database
- distributed
- memory
The easiest way to get started with Redis on the Mac
In-memory key-value server in Rust that speaks RESP, so redis-cli and Redis clients connect. Locks, rate limits, job queues and a change feed are single commands; Raft-based failover. Clients for Rust, .NET, Go, Java, Python and Node.js.
An implementation of the Raft distributed consensus protocol, verified in Coq using the Verdi framework
- raft
- verdi
- coq
- proof
Simply ACID* key-value database. At the medium or even low latency it tries to provide greater throughput without losing the ACID properties of the database. The database provides the ability to create record headers at own discretion and use them as transactions. The maximum size of stored data is limited by the size of the computer's RAM.
The dumb OCaml key-value store
- ocaml-library
- nosql
- persistent-storage
- hash-table