FaissA library for efficient similarity search and clustering of dense vectors.
vs
SupabaseBuild in a weekend. Scale to millions.
Comparison · Vector Databases · weekly run Nov 2
Faiss vs Supabase
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Supabase is the stronger AI pick in Vector Databases: it has a visibility score of 5.7 versus 5.4 for Faiss.
Choose Faiss if…
- No separate server needed for small or static datasets
Choose Supabase if…
- You want the brand AI engines rank higher (5.7 vs 5.4)
- AI answers describe it more positively (18% vs 12% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type 2 or ISO 27001 or HIPAA (BAA available) coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Faiss | Supabase |
|---|---|---|
| Visibility score | 5.4% | 5.7% |
| Change vs last week | New | New |
| Rank in Vector Databases | #13 | #12 |
| Share of voice | 1.7% | 2.2% |
| Mentions this run | 8 | 11 |
| Positive in AI answers | 12% | 18% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Faiss 0pp · Supabase 0pp over 0 weekly runs.
Engine by engine
Supabase leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
FaissSupabase
Head to head in AI answers
0 engine answers name both brands
0Faiss ranked higher
0Supabase ranked higher
Features, pricing & fit
| Dimension | Faiss | Supabase |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Free; paid from $25 / mo |
| Free plan | — | Yes |
| Deployment | Self-hosted library that runs inside the calling process on a local machine. | Hosted cloud in AWS regions across the US, EU and Asia Pacific, or self-hosted open source |
| Compliance | — | SOC 2 Type 2, ISO 27001, HIPAA (BAA available) |
| Support | — | Community support (Free plan), Email support (Pro plan), Priority email support and SLAs (Team plan), 24x7 premium enterprise support and private Slack channel (Enterprise plan) |
| Founded | 2017 | 2020 |
| Headquarters | — | Remote-first, United States |
| Employees | — | 201–500 |
| Funding | — | Series D · $1000M raised |
| Best for | Developers who need fast vector search inside their own application and can handle low-level setup. | Teams building production applications on Postgres that want auth, storage, realtime and vector search in one backend |
Plans side by side
Faiss
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Faiss
- No separate server needed for small or static datasets
- Barebones in-memory library rather than a full-featured database
- Lacks metadata storage and filtering for hybrid queries
Supabase
- Integrates smoothly with Firebase and Supabase
- Zero extra infrastructure when already running Postgres via Supabase
- Pay nothing extra for pgvector on an existing database
- Minimal operational overhead for existing Postgres clusters
- Offers vector search via pgvector, with customers paying only for the database
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Faiss vs Supabase”, https://slateindex.ai/compare/faiss-vs-supabase, data of Nov 2, 2026. Licence: CC BY 4.0.