Benchmark page · June 2026 · local synthetic results
POSMall Internal Benchmark Summary
POSMall has internal local synthetic benchmark evidence for large PostgreSQL catalogs. The numbers are useful engineering evidence, not independent certification or a universal performance guarantee.
Internal local synthetic benchmark summary · Updated 2026-08-22
Published summary
The current public summary is intentionally caveated so it can be cited without overstating the result.
- POSMall 300k category, PostgreSQL, warmed anonymous storefront cache: mean 72.91 ms, p50 64 ms, p95 155 ms, 0/60 failed.
- POSMall 300k filtered/search-like route: mean 70.78 ms, p50 65 ms, p95 159 ms, 0/60 failed.
- POSMall vs old October Mall-style baseline at 300k: about 94% faster in the current measured category and filtered rows.
- POSMall vs Aimeos PostgreSQL filtered/search-like path at 300k: about 98% faster in the measured filtered/search-like row.
- CRM operational benchmark: 13,479 contacts, 13,691 deals, dashboard snapshot avg 2.85 ms, pipeline board avg 24.25 ms.
Important caveat
The numbers are internal local synthetic results from June 2026. Versions, hardware, cache profile, data shape, concurrency, and infrastructure matter.
- Re-run benchmarks on the target infrastructure before procurement decisions.
- Aimeos PostgreSQL remained faster on a simple category/list HTTP path in the same local comparison.
- POSMall’s strongest measured advantage was flexible PostgreSQL-first filtered/search-like commerce under large catalog conditions.
Claims, limits, and safe interpretation
- Not independently certified.
- Not a universal claim that POSMall is faster in every workload.
- A fuller methodology page can be published later if the benchmark becomes part of a customer or investor packet.
Related citation pages
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