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FastCache

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

Install / Use

/learn @jitbit/FastCache
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

FastCache

7x-10x faster alternative to MemoryCache. A high-performance, lighweight (8KB dll) and thread-safe memory cache for .NET Core (.NET 6 and later)

NuGet version .NET

TL;DR

Basically it's just a ConcurrentDictionary with expiration.

Benchmarks

Windows:

| Method | Mean | Error | StdDev | Gen0 | Allocated | |--------------------- |----------:|----------:|---------:|-------:|----------:| | DictionaryLookup | 65.38 ns | 1.594 ns | 0.087 ns | - | - | | FastCacheLookup | 67.15 ns | 2.582 ns | 0.142 ns | - | - | | MemoryCacheLookup | 426.60 ns | 60.162 ns | 3.298 ns | 0.0200 | 128 B | | FastCacheGetOrAdd | 44.31 ns | 1.170 ns | 0.064 ns | - | - | | MemoryCacheGetOrAdd | 826.85 ns | 36.609 ns | 2.007 ns | 0.1879 | 1184 B | | FastCacheAddRemove | 99.97 ns | 12.040 ns | 0.660 ns | 0.0063 | 80 B | | MemoryCacheAddRemove | 710.70 ns | 32.415 ns | 1.777 ns | 0.0515 | 328 B |

Linux (Ubuntu, Docker):

| Method | Mean | Error | StdDev | Gen0 | Allocated | |--------------------- |------------:|-----------:|----------:|-------:|----------:| | FastCacheLookup | 94.97 ns | 3.250 ns | 0.178 ns | - | - | | MemoryCacheLookup | 1,051.69 ns | 64.904 ns | 3.558 ns | 0.0191 | 128 B | | FastCacheAddRemove | 148.32 ns | 25.766 ns | 1.412 ns | 0.0076 | 80 B | | MemoryCacheAddRemove | 1,120.75 ns | 767.666 ns | 42.078 ns | 0.0515 | 328 B |

How is FastCache better

Compared to System.Runtime.Caching.MemoryCache and Microsoft.Extensions.Caching.MemoryCache FastCache is

  • 7X faster reads (11X under Linux!)
  • 10x faster writes
  • Thread safe and atomic
  • Generic (strongly typed keys and values) to avoid boxing/unboxing primitive types
  • MemoryCache uses string keys only, so it allocates strings for keying
  • MemoryCache comes with performance counters that can't be turned off
  • MemoryCache uses heuristic and black magic to evict keys under memory pressure
  • MemoryCache uses more memory, can crash during a key scan

Usage

Install via nuget

Install-Package Jitbit.FastCache

Then use

var cache = new FastCache<string, int>();

cache.AddOrUpdate(
	key: "answer",
	value: 42,
	ttl: TimeSpan.FromMinutes(1));

cache.TryGet("answer", out int value); //value is "42"

//factory pattern! calls the expensive factory only if not cached yet
cache.GetOrAdd(
	key: "answer",
	valueFactory: k => 42,
	ttl: TimeSpan.FromMilliseconds(100));

//handy overload to prevent captures/closures allocation
cache.GetOrAdd(
	key: "answer",
	valueFactory: (k, arg) => 42 + arg.Length,
	ttl: TimeSpan.FromMilliseconds(100),
	factoryArgument: "some state data");

Tradeoffs

FastCache uses Environment.TickCount to monitor items' TTL. Environment.TickCount is 104x times faster than using DateTime.Now and 26x times faster than DateTime.UtcNow.

~~But Environment.TickCount is limited to Int32. Which means it resets to int.MinValue once overflowed. This is not a problem, we do have a workaround for that. However this means you cannot cache stuff for more than 25 days (2.4 billion milliseconds).~~

The above is no longer valid, we have switched to .NET 6 targeting and now use TickCount64 which is free of this problem.

Another tradeoff: MemoryCache watches memory usage, and evicts items once it senses memory pressure. FastCache does not do any of that it is up to you to keep your caches reasonably sized. After all, it's just a dictionary.

Related Skills

View on GitHub
GitHub Stars189
CategoryDevelopment
Updated2d ago
Forks22

Languages

C#

Security Score

100/100

Audited on Mar 26, 2026

No findings