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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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
An asynchronous, persistent key-value store for .NET desktop and mobile applications, backed by SQLite. Suited to both durable data such as user settings and cached data that expires, with optional encryption and System.Text.Json serialization.
- c-sharp
- cache
- reactive-extensions
- reactive-programming
Pluggable foundation blocks for building distributed apps.
- azure
- c-sharp
- lock
- message-bus
A powerful caching library for Elixir with support for transactions, fallbacks and expirations
- caching
- caching-library
- distributed-systems
- memory-cache
An HTTP cache system, RFC compliant, compatible with @tyktechnologies, @traefik, @caddyserver, @go-chi, @bnkamalesh, @beego, @devfeel, @labstack, @gofiber, @go-goyave, @go-kratos, @gin-gonic, @roadrunner-server, @zalando, @zeromicro, @nginx and @apache
- http-cache
- traefik
- souin-instance
- traefik-plugin
An efficient multi-layered caching system for .NET
- redis-caching
- memory-cache
- caching-library
- caching
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.