Performance Benchmarks
Independent, reproducible performance testing across build speeds, deployment latency, edge networking, and CI/CD efficiency.
Avg Deploy Time
1.8s
↑ 68% faster than baseline
Cold Start
42ms
↑ 4.2x improvement
P95 Edge Latency
38ms
↑ 52% lower
CI Pipeline Overhead
0.3s
↑ 91% less overhead
Build Cache Hit Rate
94.7%
↑ 18% higher
Cost / 100K Requests
$0.82
↓ 41% cheaper
Head-to-Head Comparison
Lower is better for time-based metrics. .git consistently outperforms major platforms across critical path operations.
Deploy Speed
Cold Start
P95 Latency
📦 Build & Package Efficiency
| Metric | .git | Industry Avg | Delta |
|---|---|---|---|
| Layer Reuse | 94.2% | 68.5% | +37% |
| Cache Warm Time | 0.11s | 0.68s | -84% |
| Artifact Size | 14.2MB | 28.6MB | -50% |
| Parallel Builds | 12x | 4x | +200% |
🌐 Edge & Network Performance
| Metric | .git | Industry Avg | Delta |
|---|---|---|---|
| Global POPs | 342 | 180 | +90% |
| TTFB (Median) | 24ms | 85ms | -72% |
| Certificate Provision | 0.4s | 2.1s | -81% |
| DNS Resolution | 8ms | 22ms | -64% |
🔬 Testing Methodology
All benchmarks are conducted independently using automated, reproducible test suites. We publish raw data and test configurations for full transparency.
- Test environment: Standardized EC2 m6i.xlarge instances with consistent network routing
- Sample size: 12,450 automated runs across 48 global regions over 14 days
- Workload: Real-world repos (React, Next.js, Svelte, Rust, Python) with varying complexity
- Metrics captured: Deploy latency, cold starts, P50/P95/P99 latency, CPU/RAM overhead
- Baseline comparisons: v3.1.0 releases of Vercel, Netlify, and AWS Amplify
- Statistical confidence: 99.2% with margin of error < ±2.1%
Verify the Data Yourself
Download raw benchmark datasets, test scripts, and analysis notebooks to reproduce our results or audit our methodology.