PlanetScale
Database
Hasura
DatabasePlanetScale vs Hasura (2026): Which Is Better?
PlanetScale and Hasura are both popular choices, but they serve different needs. PlanetScale is a Database with a traditional, manual approach to building, while Hasura is a Database that prioritises developer or designer control.
Below you'll find a side-by-side breakdown of detection signals, AI scores, and technical fingerprints — plus our honest take on which builder wins for different use cases.
How we detect PlanetScale vs Hasura — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
Side-by-Side Comparison
| | |
|---|---|---|
| Category | Database | Database |
| AI Score | 10/100 — Unknown | 10/100 — Unknown |
| Detection Signals | 2 patterns | 3 patterns |
| Script Detection | 1 patterns | — |
| CDN Detection | — | — |
| Header Detection | — | 1 headers |
| Sites Detected | No data yet | No data yet |
| Best For | Professional websitesTry PlanetScale → | Professional websitesTry Hasura → |
| Official Website | Visit | Visit |
Example Websites
PlanetScale
Database
PlanetScale is a database with an AI Score of 10/100 (Unknown). Our detection engine uses 2 signal patterns to identify PlanetScale-built sites.
Hasura
Database
Hasura is a database with an AI Score of 10/100 (Unknown). Our detection engine uses 3 signal patterns to identify Hasura-built sites.
Platform Overviews
PlanetScale
PlanetScale is a serverless MySQL platform built on Vitess (the database-sharding technology originally built at YouTube), offering non-blocking schema migrations via database branching — used by teams that want MySQL's ecosystem compatibility with a modern, horizontally scalable managed backend. Our engine detects PlanetScale through 1 script pattern and 1 HTML pattern tied to its client-tooling conventions; like most managed databases its footprint is primarily backend-side with minimal front-end signal. Documented at planetscale.com.
Hasura
Hasura is a backend-as-a-service that auto-generates a GraphQL (and REST) API directly over a Postgres database, popular with teams who want to skip hand-writing API endpoints entirely. AIWebsiteDetector identifies Hasura deployments through the `X-Hasura-Request-Id` response header, which Hasura's GraphQL engine attaches to virtually every request it serves — a reliable, low-ambiguity signal since no other platform uses that exact header name.
Key Differences
- Both PlanetScale and Hasura are classified as Database tools, making them the most direct competitors in this comparison.
- PlanetScale scores higher on AI involvement (10/100 vs 10/100 for Hasura), meaning it relies more heavily on AI for site generation and content creation.
- Our detection engine identifies PlanetScale using 2 fingerprint patterns and Hasura using 3 patterns — more signals generally means more reliable detection.
Which Should You Choose?
Choose PlanetScale if…
- You prefer a database solution
- You want more manual control over the final output
- PlanetScale's detection fingerprint of 2 signals means your site is reliably identifiable
Choose Hasura if…
- You need a database approach
- You prefer traditional building tools with predictable output
- Hasura's ecosystem and community better match your team's existing workflow
Our Pick — Based on our detections
PlanetScale
The most frequently detected database in our scan database.
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