← AI Recommendation IndexOpen Data · Rolling 4-week window

AWS vs PostgreSQL

A fact-by-fact comparison of AWS and PostgreSQL — sourced and dated — plus the part no generic comparison shows: which one AI assistants actually recommend more, engine by engine.

Measured by Orbatormethodology owner Henrik Tellewindow ends Sep 5, 2026

What AI recommends — by engine

Recommendation share = the % of sampled AI answers, over a 4-week rolling window, that recommend each product. Higher is better.

CLAUDE

AWS

2.4%

PostgreSQL

2.4%

GEMINI

AWS

4.1%

PostgreSQL

4%

GROK

AWS

4.4%

PostgreSQL

7.2%

CHATGPT

AWS

2.1%

PostgreSQL

2.9%

PERPLEXITY

AWS

1.9%

PostgreSQL

2%

The facts — sourced & dated

aws.amazon.com

Features

  • over 240 comprehensive servicesSource · Verified Sep 5, 2026
  • pay-as-you-go approach for pricingSource · Verified Sep 5, 2026
  • Savings PlansSource · Verified Sep 5, 2026
  • volume based discountsSource · Verified Sep 5, 2026
  • Private PricingSource · Verified Sep 5, 2026
  • AWS Pricing CalculatorSource · Verified Sep 5, 2026
postgresql.org

Features

  • performanceSource · Verified Sep 5, 2026
  • feature robustnessSource · Verified Sep 5, 2026
  • object-relational database systemSource · Verified Sep 5, 2026
  • reliabilitySource · Verified Sep 5, 2026
  • reliability, feature robustness, and performanceSource · Verified Sep 5, 2026

AWS vs PostgreSQL — FAQ

Does AI recommend AWS or PostgreSQL more?

PostgreSQL is recommended more often: it appears in 3.2% of sampled AI answers versus 2.8% for AWS, measured across the live AI engines over a rolling 4-week window.

Which AI engines were used to compare AWS and PostgreSQL?

Recommendation share is measured on CLAUDE, GEMINI, GROK, CHATGPT, PERPLEXITY using neutral, buyer-shaped prompts (no product names), aggregated over a 4-week rolling window. See the methodology for prompt design and sample sizes.

Own one of these products? Claim your profile to keep its facts accurate.

Recommendation share and entity resolution follow the Index methodology. Facts are sourced from each vendor's own pages and re-verified periodically. Customer status does not affect measurement. Free to use with attribution to orbator.io.

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