Comprehensive performance testing across time-series, analytics, columnar storage, and distributed query workloads. All benchmarks run on standard cloud infrastructure.
Total Benchmarks
Success Rate
Avg Latency
Avg Throughput
How we measure performance with industry-standard benchmarks
Our benchmarks follow strict transparency principles to ensure accurate, reproducible results. All tests use industry-standard workloads and tools.
Click on a category to view detailed results
| Benchmark | Latency | Throughput | Status |
|---|---|---|---|
| last_hour | 0.36 ms | 2,753 ops/s | passed |
| last_day | 0.89 ms | 1,124 ops/s | passed |
| last_week | 0.72 ms | 1,397 ops/s | passed |
| device_specific | 0.30 ms | 3,376 ops/s | passed |
| anomaly_detection | 0.34 ms | 2,914 ops/s | passed |
| moving_average | 0.26 ms | 3,873 ops/s | passed |
| percentiles | 0.48 ms | 2,082 ops/s | passed |
| timeseries_insert | 0.50 ms | 2,000 ops/s | passed |
| timeseries_range_query | 8.50 ms | 118 ops/s | passed |
Time-series range queries complete in under 1ms for recent data, with automatic chunk pruning for efficient data access.
Connection pooling with PgDog enables thousands of operations per second with intelligent query routing.
Columnar storage with ZSTD compression delivers fast analytical queries with up to 90% storage savings.
Our benchmark suite is open source. Clone the repository and run benchmarks against your own OrochiDB cluster to see real-world performance.