Why Dragonfly
Dragonfly is a modern Redis replacement — fully compatible but uses 25x less memory for the same dataset. Multi-threaded architecture means it scales vertically on modern hardware.
Quick Start
docker run -d -p 6379:6379 docker.dragonflydb.io/dragonflydb/dragonfly
# Use any Redis client
redis-cli -p 6379
Full Redis Compatibility
# All Redis commands work
SET user:123 '{"name": "Alice", "plan": "premium"}'
GET user:123
HSET product:456 name "Widget" price 29.99 stock 100
HGETALL product:456
LPUSH queue:orders "order-789"
BRPOP queue:orders 0
SADD tags:post:1 "javascript" "nodejs" "api"
SMEMBERS tags:post:1
Why Dragonfly Uses Less Memory
Dragonfly uses a novel memory management approach:
- Dashtable — custom hash table more memory-efficient than Redis dict
- No forking — snapshots without copy-on-write memory doubling
- Multi-threaded — shared-nothing architecture uses all CPU cores
Benchmark
Dataset: 1 billion keys
Redis: ~120 GB RAM
Dragonfly: ~5 GB RAM (25x less)
Throughput: 4M ops/sec (vs Redis 100K single-threaded)
Key Features
- Redis compatible — drop-in replacement
- 25x less memory — for same dataset
- Multi-threaded — uses all CPU cores
- No fork — consistent latency during snapshots
- Memcached compatible — dual protocol
- Open source — BSL license
Resources
Need to extract cache data, benchmark metrics, or database stats? Check out my Apify tools or email spinov001@gmail.com for custom solutions.
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