On benchmarking

Short summary

Database benchmarking requires controlling for network latency, infrastructure parity, and workload characteristics. A 15ms network round-trip halves single-threaded throughput vs 2.5ms; hardware generations differ by 15%. Access patterns (uniform vs Zipfian distribution) and RAM-to-disk ratios fundamentally shape results.

• •Network latency between benchmark and database servers dramatically impacts throughput; must account for this when comparing systems
• •Infrastructure must match: same CPU generation, same RAM, same storage type—mismatches introduce 15%+ bias
• •Workload design matters: RAM/disk ratio, read/write patterns, and access distribution (uniform vs skewed) all affect performance

Generated with AI, which can make mistakes.