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Cqdam Free – single-binary in-memory KV store (RESP subset), ~2.5M ops/SEC

https://github.com/LaminarInstruments/Laminar-Flow-In-Memory-Key-Value-Store
1•LaminarBender•3h ago

Comments

LaminarBender•3h ago
I built a tiny, single-binary, in-memory key-value store that speaks a Redis-style RESP subset and focuses purely on speed. It’s called CQDAM Free Edition. What it is Single executable, zero dependencies RESP/Redis-style protocol with pipelining Supported: SET/GET/DEL/EXISTS, INCR/DECR, PING/INFO/HELLO, FLUSHALL Not included (by design in Free): persistence/durability, security, clustering, observability, advanced data structures (hashes/lists/sets/zsets), pub/sub, transactions Why For hot paths (counters, flags, session/dedupe keys, rate limits) I wanted a smaller surface and very low overhead. Benchmarks (how I measured) Local loopback using redis-benchmark against CQDAM: # Example run A (small pipeline) redis-benchmark -h 127.0.0.1 -p 6980 -t SET,GET -n 200000 -c 10 -P 10 -d 64

# Example run B (larger pipeline) redis-benchmark -h 127.0.0.1 -p 6980 -t SET,GET -n 500000 -c 10 -P 100 -d 64 On my laptop, run A lands ~1.2M ops/sec for SET (p50 ~0.05 ms), run B approaches the intentional Free-edition cap of ~2.5M ops/sec. Your numbers will vary by CPU, pipeline depth, payload, and NIC/loopback. I included the exact flags above so you can reproduce. Usage ./cqdam_free 6980 & redis-cli -p 6980 PING redis-cli -p 6980 SET hello world redis-cli -p 6980 GET hello Scope & positioning This is not a Redis replacement. It’s a minimal KV engine for ultra-hot paths where you only need a few primitives and want minimal overhead. If you need persistence, clustering, security, pub/sub, or richer data structures, use Redis (or wait for the enterprise track). License Free Edition is source-available, non-commercial, and intentionally performance-capped (~2.5M ops/sec). Commercial use, higher limits, and full features will be in the enterprise version. Roadmap / ask Enterprise Edition (targeting 7M+ ops/sec) will add durability, security, replication/cluster, and observability. I’m looking for design partners and tough workloads to validate tail latencies and failure modes. Repo: https://github.com/LaminarInstruments/Laminar-Flow-In-Memory... Contact: darreck@laminarinstruments.com

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