Latency
p50, p95, p99, and p99.9 from ingest to query result under sustained load.
Benchmark methodology
Measure latency, throughput, jitter, replay correctness, and mixed workload behavior under sustained load.
VogazDB benchmark content should qualify prospects without overpromising. The methodology explains how to compare systems fairly while protecting implementation details.
What to measure
p50, p95, p99, and p99.9 from ingest to query result under sustained load.
Writes per second, reads per second, analytical scans, and mixed read/write ratios.
Standard deviation, tail amplification, and latency stability during stress.
Historical reconstruction, time-travel correctness, and deterministic result comparison.
Test scenarios
Market-open spikes and sudden volume bursts that test ingestion stability and queue behavior.
Normal trading hours or continuous telemetry under realistic mixed read/write demand.
Three times peak volume, sustained for long enough to expose tail latency and jitter.
Historical reconstruction and analytical queries over retained data across hot, warm, and cold tiers.
Fair comparison rules
Use the same hardware, the same dataset, the same query semantics, and no vendor-specific shortcuts that change the meaning of the workload.
CPU, memory, storage, network, and acceleration configuration should be documented.
Market, telemetry, or synthetic streams should preserve event ordering and cardinality.
Queries should return equivalent results, not merely similar-looking metrics.
Stress duration and mixed workload ratios should be consistent across systems.
Gated assets
Latency, throughput, jitter, and replay methodology reports.
VogazDB, kdb+, ClickHouse, MongoDB, and Redis across model fit, query style, operations, and latency posture.
View comparison pageDetailed architecture without exposing proprietary implementation code.
Accelerator-ready paths and operator offload strategy.
Next step
Define workloads, metrics, hardware, data shape, success criteria, and review checkpoints.