← AI Recommendation IndexOpen Data · Rolling 4-week window

Dub vs PostgreSQL

A fact-by-fact comparison of Dub 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 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

Dub

0.4%

PostgreSQL

2.6%

GEMINI

Dub

0.2%

PostgreSQL

3.9%

GROK

Dub

0.2%

PostgreSQL

7.2%

CHATGPT

Dub

0.2%

PostgreSQL

2.8%

PERPLEXITY

Dub

0.2%

PostgreSQL

1.8%

The facts — sourced & dated

dub.co

Features

  • UTM builderSource · Verified Sep 5, 2026
  • Geo targetingSource · Verified Sep 5, 2026
  • Deep linksSource · Verified Sep 5, 2026
  • Real-time webhooksSource · Verified Sep 5, 2026
  • Custom domainsSource · Verified Sep 5, 2026
  • Link cloakingSource · Verified Sep 5, 2026
  • Short linksSource · Verified Sep 5, 2026
  • Conversion trackingSource · Verified Sep 5, 2026
  • Affiliate programsSource · Verified Sep 5, 2026
  • QR codesSource · Verified Sep 5, 2026
  • Device targetingSource · Verified Sep 5, 2026

Integrations

  • StripeSource · Verified Sep 5, 2026
  • VercelSource · Verified Sep 5, 2026

Platforms

  • APISource · Verified Sep 5, 2026

Pricing

  • Business: $90 a monthSource · Verified Sep 5, 2026
  • Advanced: $300 a monthSource · 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

Dub vs PostgreSQL — FAQ

Does AI recommend Dub or PostgreSQL more?

PostgreSQL is recommended more often: it appears in 3.2% of sampled AI answers versus 0.2% for Dub, measured across the live AI engines over a rolling 4-week window.

Which AI engines were used to compare Dub 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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