ForgeKV

ForgeKV / forgekv

Public

Redis-compatible key-value server built in Rust — multi-core scale-out, SSD-backed persistence

forgekv.com cache database key-value lsm-tree redis
10
0
89% credibility
Found Mar 25, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

ForgeKV is a high-performance, Redis-compatible key-value store designed for multi-core scaling and SSD persistence as a drop-in alternative.

How It Works

1
📰 Hear about ForgeKV

You learn about a speedy upgrade for your data storage that works just like your current setup but handles more work effortlessly.

2
🐳 Grab and start it

Download the ready-to-go package and launch it on your computer with a simple command—no complicated setup needed.

3
🔌 Link your tools

Connect your existing apps and programs directly, since everything talks the same language without any tweaks.

4
⚡ Feel the speed boost

Watch your data operations fly faster, especially when handling lots of requests at once on powerful machines.

5
📊 Test and compare

Run quick checks to see how it outperforms others, confirming your data stays safe and quick.

🎉 Unlock smooth scaling

Your storage now grows with your needs, delivering reliable speed and power for all your projects.

Sign up to see the full architecture

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Star Growth

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AI-Generated Review

What is forgekv?

ForgeKV is a Redis-compatible key-value server built in Rust, offering multi-core scale-out and SSD-backed persistence as a drop-in replacement for Redis. Any Redis client connects unchanged on port 6379, handling commands like strings, hashes, lists, sets, sorted sets, streams, and modules such as JSON or Bloom filters. It solves Redis's single-threaded bottleneck, scaling throughput with CPU cores while persisting data durably to SSD.

Why is it gaining traction?

Benchmarks show ForgeKV hitting 158K SET ops/sec on 2 cores—41% faster than Redis 7 and 3.5x Dragonfly under multi-threaded loads—while keeping low latencies. Docker-ready with a one-line `docker compose up` and a repro benchmark script, it delivers real multi-core gains without rewriting apps. Rust's safety and speed hook performance-focused devs eyeing Redis alternatives.

Who should use this?

Backend engineers at scale-up services needing Redis throughput beyond one core, like session stores or leaderboards under high concurrency. Teams evaluating persistent KV for queues or caches where SSD durability matters, especially if migrating from Redis without client changes. Ops folks prototyping with Docker before self-hosting.

Verdict

Try it for multi-core Redis workloads—docker pull and benchmark today. With 10 stars and source-available licensing (commercial for SaaS), it's early but credible at 0.90% score; solid docs and tests make evaluation low-risk, though production needs more battle-testing.

(198 words)

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