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Cache Server Benchmark Project

This project benchmarks the performance of different cache servers (Redis, Garnet, and Dragonfly) using Docker containers and C#.

Prerequisites

  • Windows OS
  • Docker Desktop
  • .NET SDK 9.0 or later
  • Docker Compose

Cache Servers Tested

  • Redis (Latest)
  • Garnet (Latest)
  • Dragonfly (Latest)

Project Structure

  • CacheBenchmark/ - C# benchmark project using BenchmarkDotNet
  • docker-compose.yml - Docker configuration for cache servers

How to Run

  1. Start Docker containers:
docker-compose up -d
  1. Run the benchmark:
cd CacheBenchmark
dotnet run -c Release

Sample Benchmark Results

BenchmarkDotNet v0.14.0, Windows 11 (10.0.26100.2605)
11th Gen Intel Core i7-11800H 2.30GHz, 1 CPU, 16 logical and 8 physical cores
.NET SDK 9.0.200-preview.0.24575.35

| Method         | Mean      | Error    | StdDev   | Allocated |
|---------------|-----------|----------|-----------|-----------|
| Redis-GET     | 490.6 ms  | 10.78 ms | 6.42 ms  | 1425.91 KB|
| Redis-SET     | 531.1 ms  | 15.99 ms | 9.51 ms  | 403.16 KB |
| Garnet-SET    | 553.0 ms  | 12.60 ms | 7.50 ms  | 404.19 KB |
| Dragonfly-SET | 566.0 ms  | 10.81 ms | 6.43 ms  | 410.31 KB |
| Dragonfly-GET | 566.6 ms  | 10.98 ms | 6.53 ms  | 1435.05 KB|
| Garnet-GET    | 622.1 ms  | 10.64 ms | 6.33 ms  | 1419.39 KB|

Test Configuration

  • Each test performs 1000 operations
  • Data size: 1KB per value
  • Tests include both SET and GET operations
  • All tests run with 3 iterations and 3 warmup counts

Performance Summary

  1. Redis shows the best overall performance:

    • Fastest GET operations (490.6 ms)
    • Efficient SET operations (531.1 ms)

  2. Dragonfly shows consistent performance:

    • Similar timing for both GET and SET (around 566 ms)
    • Slightly higher memory allocation

  3. Garnet:

    • Competitive SET performance (553.0 ms)
    • Slower GET operations (622.1 ms)
    • Efficient memory usage for SET operations

Memory Usage

  • SET operations use ~400-410 KB
  • GET operations use ~1.4 MB
  • Memory usage is similar across all cache servers

License

MIT

Contributing

Feel free to submit issues and pull requests.