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Supabase vs PlanetScale vs Neon for AI Agents: The Closest Race We've Scored
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Supabase vs PlanetScale vs Neon for AI Agents: The Closest Race We've Scored

via Dev.to WebdevRhumb3h ago

This comparison uses live AN Score data from Rhumb — 20-dimension API scoring across Execution, Access Readiness, and Autonomy. Scores reflect published data as of March 2026. ---Short answer: The closest race in any category we've scored. Neon edges on raw score, Supabase on confidence and platform breadth, PlanetScale when MySQL is non-negotiable.All three score between 7.2 and 7.6 — a 0.4-point spread that is within margin of error. The real differentiator is not the score but the shape of the offering: Supabase is a platform, PlanetScale is a MySQL scaling engine, Neon is a serverless Postgres primitive.---## The Scores| Metric | Supabase | PlanetScale | Neon ||--------|----------|-------------|------|| AN Score | 7.5 L3 | 7.2 L3 | 7.6 L3 || Execution | 8.0 | 7.6 | 8.0 || Access Readiness | 6.8 | 6.5 | 6.9 || Confidence | 88% | 56% | 59% || Engine | PostgreSQL + platform | MySQL (Vitess) | Serverless Postgres | Confidence matters. Supabase at 88% is the most measured; Neon and Plan

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