fast-cache VS tsunami

Compare fast-cache vs tsunami and see what are their differences.

fast-cache

The fastest cache library written in C# for items with set expiration time. Easy to use, thread-safe and light on memory. (by neon-sunset)
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fast-cache tsunami
1 1
70 6
- -
7.9 7.1
1 day ago 4 months ago
C# C#
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

fast-cache

Posts with mentions or reviews of fast-cache. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing fast-cache and tsunami you can also consider the following projects:

FusionCache - FusionCache is an easy to use, fast and robust cache with advanced resiliency features and an optional distributed 2nd level.

json-ld.net - A JSON-LD processor for .NET.

FastCache - 7x-10x faster alternative to MemoryCache. A high-performance, lighweight (8KB dll) and thread-safe memory cache for .NET.

DotMP - A collection of powerful abstractions for parallel programming in .NET with an OpenMP-like API.

Akavache - An asynchronous, persistent key-value store created for writing desktop and mobile applications, based on SQLite3. Akavache is great for both storing important data as well as cached local data that expires.

SmartSql - SmartSql = MyBatis in C# + .NET Core+ Cache(Memory | Redis) + R/W Splitting + PropertyChangedTrack +Dynamic Repository + InvokeSync + Diagnostics

Fusion - 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!