← AI Recommendation IndexOpen Data · Rolling 4-week window

PostgreSQL vs Strapi

A fact-by-fact comparison of PostgreSQL and Strapi — 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 6, 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

PostgreSQL

2.6%

Strapi

1%

GEMINI

PostgreSQL

3.9%

Strapi

1.4%

GROK

PostgreSQL

7.2%

Strapi

1.7%

CHATGPT

PostgreSQL

2.8%

Strapi

1%

PERPLEXITY

PostgreSQL

1.8%

Strapi

1%

The facts — sourced & dated

postgresql.org

Features

  • feature robustnessSource · Verified Sep 5, 2026
  • performanceSource · 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
strapi.io

Features

  • Custom FieldsSource · Verified Sep 5, 2026
  • REST and GraphQL APIsSource · Verified Sep 5, 2026
  • Global CDNSource · Verified Sep 5, 2026
  • Audit logsSource · Verified Sep 5, 2026
  • Review workflowsSource · Verified Sep 5, 2026
  • Content historySource · Verified Sep 5, 2026
  • Content Type BuilderSource · Verified Sep 5, 2026
  • Components and Dynamic ZonesSource · Verified Sep 5, 2026

Integrations

  • Next.jsSource · Verified Sep 5, 2026
  • VercelSource · Verified Sep 5, 2026

Pricing

  • Starter: $35 a monthSource · Verified Sep 5, 2026
  • Pro: $90 a monthSource · Verified Sep 5, 2026
  • Business: $450 a monthSource · Verified Sep 5, 2026

PostgreSQL vs Strapi — FAQ

Does AI recommend PostgreSQL or Strapi more?

PostgreSQL is recommended more often: it appears in 3.2% of sampled AI answers versus 1.1% for Strapi, measured across the live AI engines over a rolling 4-week window.

Which AI engines were used to compare PostgreSQL and Strapi?

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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