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.
Repository Index
47,133 repositories indexed
1–18 of 18 · Most stars
A flexible distributed key-value database that is optimized for caching and other realtime workloads.
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
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.
- go
- cache
- library
Fast persistent recoverable log and key-value store + cache, in C# and C++.
- key-value-store
- hash-table
- persistent
- recoverable
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
Near-zero config .NET library that makes advanced application features like Task Scheduling, Caching, Queuing, Event Broadcasting, and more a breeze!
- dotnetcore
- background-jobs
- queue
- mailing
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
CacheManager is an open source caching abstraction layer for .NET written in C#. It supports various cache providers and implements many advanced features.
A distributed in-memory data store for the cloud
:boom: EasyCaching is an open source caching library that contains basic usages and some advanced usages of caching which can help us to handle caching more easier!
- caching
- memory-cache
- distributed-cache
- aspnetcore
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 implementation of HTTP Caching in .NET Core and 4.5.2+ for both the client and the server
GhostDB is a distributed, in-memory, general purpose key-value data store that delivers microsecond performance at any scale.
Embeddable and distributed in-memory alternative to Redis.
- cluster
- database
- distributed
- memory
Action caching for Action Pack (removed from core in Rails 4.0)
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.
Build real-time Blazor and MAUI apps while writing just 0.1% of the usual real-time update code. Handle 10× more API requests with the ActualLab.Rpc protocol—or 1000× more with Fusion’s transparent and perfectly coherent caching.