Benchmark summary · POSMall PostgreSQL · Aimeos PostgreSQL target

POSMall PostgreSQL Benchmark Summary

POSMall has internal Homestead benchmark evidence showing POSMall PostgreSQL beating the Aimeos PostgreSQL target across the measured 1k–300k category and filtered/search rows. The detailed table and reproduction notes are published on the dedicated benchmark page.

Internal Homestead PostgreSQL benchmark summary · Updated 2026-08-23

POSMall PostgreSQL Benchmark Summary visual evidence screenshot

Answer first

The final documented comparison was POSMall PostgreSQL against Aimeos PostgreSQL in the same local Homestead benchmark environment. Aimeos PostgreSQL was selected because it was the fastest Laravel/PHP ecommerce target found and verified during the reference research, so the useful question was whether POSMall could catch and beat that PostgreSQL target.

  • Final checkpoint: posmall-aimeos-5way-current-checkpoint-20260610-024820.
  • Measured sizes: 1k, 5k, 10k, 50k, 100k, 200k, and 300k products.
  • POSMall PostgreSQL won every measured PostgreSQL target row in the final table: category and filtered/search.
  • At 300k, POSMall category was 33.49 ms versus Aimeos PostgreSQL category at 61.17 ms.
  • At 300k, POSMall filtered/search-like response was 33.79 ms versus Aimeos PostgreSQL search at 4229.29 ms.

Reproduce instead of trusting marketing

The public POSMall core can be installed locally with PostgreSQL, and the benchmark/test tooling can be run in a controlled environment. The honest way to evaluate the claim is to place POSMall PostgreSQL and Aimeos PostgreSQL on the same machine, seed the same benchmark sizes, warm the same type of requests, and compare raw averages, p95 latency, failures, and methodology notes.

  • Use one local machine or VM for both systems.
  • Use PostgreSQL for both stores.
  • Run the POSMall PostgreSQL benchmark tests and load-benchmark commands included with the core.
  • Keep raw files and methodology notes so the comparison remains auditable.

Claims, limits, and safe interpretation

  • Not independently certified.
  • Internal Homestead synthetic benchmark evidence, not a universal production SLA.
  • Target infrastructure, concurrency, PHP/FPM settings, cache profile, data shape, and page design can change results.
  • The precise claim is POSMall PostgreSQL beat the Aimeos PostgreSQL target across the final measured 1k–300k rows, not that every possible ecommerce workload is faster everywhere.

Related citation pages

Complete POSMall technical dossier Detailed PostgreSQL vs PostgreSQL table Benchmark JSON Benchmark CSV POSMall public core US tax automation

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