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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Apache Ignite
- distributed-sql-database
- iot
- osgi
- network-client
Build real-time apps (Blazor included) with less than 1% of extra code responsible for real-time updates. Host 10-1000x faster APIs relying on transparent and nearly 100% consistent caching. We call it DREAM, or Distributed REActive Memoization, and it's here to turn real-time on!
- blazor
- blazor-server
- blazor-webassembly
- realtime
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 implementation of HTTP Caching in .NET Core and 4.5.2+ for both the client and the server
GraphQL, built for Deno - a native GraphQL caching client and server module
Quick development library (AutoMapper, LinQ, IOC Dependency Injection, MemoryCache, Scheduled tasks, Json and Yml Config and Options pattern, Serializers, etc) with crossplatform support for Delphi/Firemonkey (Windows,Linux,OSX/IOS/Android) and freepascal (Windows/Linux).
- delphi
- azure
- config
- json
Embeddable and distributed in-memory alternative to Redis.
- cluster
- database
- distributed
- memory
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.
A RESTful caching micro-service in Go backed by Couchbase
A key/value store where pairs can expire after a specified interval
- crystal
- cache
- filesystem
- expiration