Storage Benchmarks
Upload/download latency and throughput benchmarks for object storage providers. 10 MB file size, 100 iterations.
Powered byPerformance Over Time
Composite Score
Detailed Metrics
Provider | Score | Upload (med) | Download (med) | Throughput (med) | Success |
|---|---|---|---|---|---|
| Archil | 99.6 | 213ms | 33ms | 2537 Mbps | 100% |
| Azure Blob | 99.4 | 183ms | 85ms | 982 Mbps | 100% |
| Tensorlake | 97.4 | 298ms | 137ms | 613 Mbps | 100% |
| AWS S3 | 96.4 | 556ms | 138ms | 608 Mbps | 100% |
| Tigris | 96.2 | 315ms | 184ms | 455 Mbps | 100% |
| Vercel Blob | 96.1 | 272ms | 188ms | 445 Mbps | 100% |
| Mosaic | 94.8 | 874ms | 226ms | 372 Mbps | 100% |
| Neon | 94.3 | 811ms | 316ms | 266 Mbps | 100% |
| Cloudflare R2 | 94.0 | 883ms | 353ms | 237 Mbps | 100% |
| GCS | 0.0 | 0ms | 0ms | 0 Mbps | 0% |
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Methodology
What We Measure
The benchmark uploads and then downloads files of configurable size (1 MB, 4 MB, 10 MB, and 16 MB) to a bucket in each provider, measuring the time for each operation independently. This page displays the 10 MB results.
Three metrics are captured per iteration: upload latency, download latency, and throughput (Mbps, computed from download timing).
Each provider is tested with 100 iterations per run. Benchmarks run automatically via GitHub Actions on a recurring schedule. All results are committed to the public benchmarks repo.
How We Score
The Composite Score is a weighted blend of upload and download latency metrics plus throughput, multiplied by the success rate. Latency is scored against a fixed 30-second ceiling: 100 × (1 − value / 30,000ms); throughput is scored on a 1–1000 Mbps scale.
The weighted score is multiplied by the success rate (0–1), so providers that fail frequently are penalized proportionally.
- • Download median: 35%
- • Download P95: 15%
- • Download P99: 5%
- • Upload median: 25%
- • Upload P95: 10%
- • Upload P99: 5%
- • Throughput: 5%