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.
Fast persistent recoverable log and key-value store + cache, in C# and C++.
Near-zero config .NET library that makes advanced application features like Task Scheduling, Caching, Queuing, Event Broadcasting, and more a breeze!
FusionCache is an easy to use, fast and robust hybrid cache with advanced resiliency features.
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.
Pluggable foundation blocks for building distributed apps.
- azure
- c-sharp
- lock
- message-bus
: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!
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
An efficient multi-layered caching system for .NET
- redis-caching
- memory-cache
- caching-library
- caching
High performance, thread-safe in-memory caching primitives for .NET
7x-10x faster alternative to MemoryCache. A high-performance, lighweight (8KB dll) and thread-safe memory cache for .NET.
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.