Supabase
Database
Hasura
DatabaseSupabase vs Hasura (2026): Which Is Better?
Supabase and Hasura are both popular choices, but they serve different needs. Supabase 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 Supabase 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 | 5 patterns | 3 patterns |
| Script Detection | 2 patterns | — |
| CDN Detection | 1 domains | — |
| Header Detection | — | 1 headers |
| Sites Detected | 3 scans | No data yet |
| Best For | Professional websitesTry Supabase → | Professional websitesTry Hasura → |
| Official Website | Visit | Visit |
Supabase
Database
Supabase is a database with an AI Score of 10/100 (Unknown). Our detection engine uses 5 signal patterns to identify Supabase-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
Supabase
Supabase is an open-source Firebase alternative built on Postgres, bundling a database, authentication, storage, and real-time subscriptions into one developer platform — widely adopted because it gives teams a full Postgres database (rather than Firebase's NoSQL model) with a similarly fast setup experience. Our engine detects Supabase through 2 script patterns, 2 HTML patterns, and 1 CDN domain tied to its client SDK's API-request conventions and asset delivery. Supabase can be self-hosted or used via its managed cloud; detection doesn't distinguish between the two. Documented at supabase.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 Supabase and Hasura are classified as Database tools, making them the most direct competitors in this comparison.
- Supabase 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 Supabase using 5 fingerprint patterns and Hasura using 3 patterns — more signals generally means more reliable detection.
Which Should You Choose?
Choose Supabase if…
- You prefer a database solution
- You want more manual control over the final output
- Supabase's detection fingerprint of 5 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 3+ detections
Supabase
The most frequently detected database in our scan database.
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