Neon
Database
Hasura
DatabaseNeon vs Hasura (2026): Which Is Better?
Neon and Hasura are both popular choices, but they serve different needs. Neon 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 Neon 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 | 3 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 Neon → | Professional websitesTry Hasura → |
| Official Website | Visit | Visit |
Example Websites
Neon
Database
Neon is a database with an AI Score of 10/100 (Unknown). Our detection engine uses 3 signal patterns to identify Neon-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
Neon
Neon is a serverless Postgres platform built around instant database branching (creating isolated database copies for each dev/preview environment) — popular with teams using Vercel and other preview-deployment workflows who want a database that scales to zero and integrates with CI/CD branching. Our engine detects Neon through 1 script pattern and 2 HTML patterns tied to its connection and client-tooling conventions, which are lighter than front-end-facing products since Neon is primarily a backend database service with limited client-side footprint. Documented at neon.tech.
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 Neon and Hasura are classified as Database tools, making them the most direct competitors in this comparison.
- Neon 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 Neon using 3 fingerprint patterns and Hasura using 3 patterns — more signals generally means more reliable detection.
Which Should You Choose?
Choose Neon if…
- You prefer a database solution
- You want more manual control over the final output
- Neon's detection fingerprint of 3 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
Neon
The most frequently detected database in our scan database.
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