Live Production Benchmark — February 2026

Cachee vs AWS ElastiCache
Head-to-Head Results

Same instance. Same network. Same Redis cluster. Zero code changes. Cachee Edge Proxy delivers 1.76x faster throughput and 4x lower latency than direct ElastiCache access.

1.76x
Faster GET Throughput
4x
Lower Latency
21x
Faster Cache Hits
100%
Hit Rate

Throughput Benchmark

redis-benchmark, 200K operations, 50 concurrent clients, 128-byte values

Test Direct ElastiCache Cachee Proxy (TCP) Cachee (Unix Socket) Speedup
SET (50 clients) 95,012 ops/s 156,986 ops/s 203,459 ops/s 1.65x – 2.14x
GET (50 clients) 90,703 ops/s 159,363 ops/s 196,078 ops/s 1.76x – 2.16x
SET (pipeline 64) 2,704,433 ops/s 296,834 ops/s 0.11x*
GET (pipeline 64) 3,089,723 ops/s 1,471,059 ops/s 0.48x*

* Pipeline mode is a synthetic benchmark that batches 64 commands per round-trip. Real-world applications use single-command mode where Cachee delivers 1.65–2.16x improvement. Write-behind mode returns SETs immediately to the client while batching upstream writes.

SET Throughput (ops/sec)

Cachee Unix Socket 203,459
Cachee TCP 156,986
Direct ElastiCache 95,012

GET Throughput (ops/sec)

Cachee Unix Socket 196,078
Cachee TCP 159,363
Direct ElastiCache 90,703

vs Standard Redis (Localhost)

Same machine, zero network latency. Redis 7.0.15 standalone on c7i.xlarge (4 vCPUs).

Test Standard Redis Cachee TCP Cachee Unix Speedup
SET (50 clients) 102,407 ops/s 128,123 ops/s 181,818 ops/s 1.25x – 1.78x
GET (50 clients) 110,803 ops/s 136,054 ops/s 186,047 ops/s 1.23x – 1.68x
GET (pipeline 16) 754,717 ops/s 1,250,000 ops/s 1.66x

Even on localhost with zero network latency, Cachee's L1 cache serves reads faster than Redis itself. SET p50: 0.223ms (Cachee) vs 0.319ms (Redis) = 30% lower. GET p50: 0.191ms vs 0.279ms = 32% lower.

Latency Comparison

Measured with redis-cli --latency-history on the same c7i.metal-48xl instance

Average Latency
0.20
milliseconds (Cachee)
vs 0.80ms direct ElastiCache — 4x lower
Cache Hit Latency
16
microseconds (L1 cache)
vs 339µs cache miss — 21x faster
Total Requests
6.28M
requests served
6,285,885 hits — 2 misses — 100% hit rate

The Distance Multiplier

The further your application is from Redis, the bigger the win. Cachee's L1 cache returns hits in 16µs regardless of where your Redis lives.

Your App ↔ Redis Redis Latency Cachee L1 Hit Speedup
Same AZ (our benchmark) 339 µs 16 µs 21x
Cross-AZ (same region) 1–3 ms 16 µs 62–187x
Cross-Region (e.g. us-east → eu-west) 30–80 ms 16 µs 1,875–5,000x
Public Internet / VPN / Hybrid Cloud 50–150 ms 16 µs 3,125–9,375x
9,375x

At worst-case internet latency, every Cachee L1 cache hit saves 150ms per request. At 10,000 requests/sec, that's 25 minutes of cumulative latency saved every second.

How It Works

Zero code changes. Just point your app at Cachee instead of Redis.

Your App
Redis client
Cachee Proxy
L1 cache + routing
Moka L1 Cache
16µs hits
ElastiCache
339µs fallback

Cachee Edge Proxy

Runtime Rust + Tokio async
L1 Cache Moka (10M entries)
Connection Pool 192 (64/shard × 3)
Write Mode Write-behind (async)
Protocol RESP (full Redis compat)
Unix Socket /tmp/cachee.sock

Test Infrastructure

Instance c7i.metal-48xl
vCPUs 192
Redis Backend ElastiCache r7g.16xl
Redis Version 7.1.0 (3 shards)
Region us-east-1
Network Same VPC, same AZ

Make Your Redis Faster.
Today.

Drop-in proxy. No code changes. See results in under 5 minutes.

Talk To Someone Quick Start Guide →
Benchmark run: February 7, 2026 · Instance: c7i.metal-48xl · Region: us-east-1