Garnet — High-Performance Cache Store from Microsoft Research

What it is

Garnet is a remote cache-store from Microsoft Research that offers strong performance, scalability, and Redis protocol compatibility. Written in C#, it leverages the .NET runtime for cross-platform support and modern memory management.

Garnet targets teams looking for a Redis-compatible cache with better throughput and lower tail latency at scale. It is designed for high-concurrency workloads where predictable performance matters.

The project is actively maintained and suitable for both individual developers and teams looking to integrate it into their existing toolchain. Documentation and community support are available for onboarding.

How it saves time or tokens

Garnet is a drop-in replacement for Redis in most scenarios. Existing Redis client libraries work without modification because Garnet implements the Redis serialization protocol (RESP). Migration from Redis requires no application code changes. Garnet's threading model reduces tail latency under high concurrency, meaning fewer retries and timeouts in your application.

How to use

1. Download Garnet from GitHub releases or build from source with .NET 8+.
2. Start the Garnet server: dotnet run --project Garnet -- --port 6379
3. Connect using any Redis client library (redis-py, ioredis, go-redis, etc.).
4. Use standard Redis commands (GET, SET, HSET, LPUSH, etc.).

Example

# Build and run Garnet
git clone https://github.com/microsoft/garnet.git
cd garnet
dotnet restore
dotnet run --project Garnet -- --port 6379

# Connect with redis-cli (works because Garnet speaks RESP)
redis-cli -p 6379
> SET mykey 'hello'
OK
> GET mykey
"hello"
> HSET user:1 name 'Alice' age 30
(integer) 2
> HGETALL user:1
1) "name"
2) "Alice"
3) "age"
4) "30"

Related on TokRepo

• AI Tools for Database — Compare Garnet with other data stores and caching solutions.
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Common pitfalls

• Assuming 100% Redis command coverage. Garnet implements the most common Redis commands but not all. Check the compatibility matrix for Lua scripting, Pub/Sub, and cluster commands before migrating.
• Not benchmarking with your specific workload. Garnet's performance advantages vary by access pattern. Run your actual workload against both Garnet and Redis to measure the difference.
• Skipping persistence configuration. By default, Garnet stores data in memory only. Configure checkpointing for durability if your use case requires data survival across restarts.
• Not reading the changelog before upgrading. Breaking changes between versions can cause unexpected failures in production. Pin your version and review release notes.