Infrastructure & DevOps
SurrealDB
Last updated 2026-06-06 · benchmark measured 2026-06-10 — deterministic & reproducible
SurrealDB is a multi-model database unifying documents, graphs, vectors, and SQL in one engine.
Is SurrealDB production-ready?
Legit.Show ran its deterministic 7-Frame production-readiness benchmark on SurrealDB (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Privacy; its weakest is Performance. The per-frame breakdown is public on the Legit.Show listing; the single overall production-readiness score is reserved for the verified maker.
The 7 Frames
- Performance — 45/100
- Accessibility — 93/100
- Security — 90/100
- Privacy — 100/100
- Reliability — 75/100
- Standards — 73/100
- Discoverability — 100/100
What we measured
- Security headers present: CSP, HSTS, X-Frame-Options, X-Content-Type-Options.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 191 ms to first byte.
- 3 of 3 sampled routes reachable.
- Has a reachable privacy policy.
- Discoverable: structured data, sitemap, OpenGraph image, canonical URL.
Who it's for
AI agent developers · Enterprises building context-aware systems · Developers seeking to simplify database architecture
Pricing
Free tier ($0/hr with 1GB storage); Start Cloud $0.021-$0.093/hr (burstable configs); Scale Cloud $0.135-$2.409/hr (general purpose configs); Enterprise Cloud custom pricing; Support tiers: Standard (