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 modern replacement for Redis and Memcached
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
- go
- cache
- library
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
- java
- hazelcast
- in-memory
- big-data
Apache Ignite
- distributed-sql-database
- iot
- osgi
- network-client
An in-memory cache library for golang. It supports multiple eviction policies: LRU, LFU, ARC
- go
- golang
- cache
- in-memory
A distributed in-memory data store for the cloud
In-memory and distributed caching toolkit for Elixir.
- cache
- distributed
- ecto
- elixir
An in-memory cache with item expiration and generics
- cache
- golang
- ttl-cache
- generics
GhostDB is a distributed, in-memory, general purpose key-value data store that delivers microsecond performance at any scale.
High performance, thread-safe in-memory caching primitives for .NET
- cache
- lru
- threadsafe
- dotnet
TranslatedDistributed Transactional In-Memory Database (the world's first MongoDB that supports distributed transactions)
Embeddable and distributed in-memory alternative to Redis.
- cluster
- database
- distributed
- memory
A simple in-memory file cache for gulp
high performance in-memory cache
- cache
- concurrency
- performance
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.