Amazon S3 VectorsVector Databases
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Comparison · Vector Databases · weekly run Nov 2
Amazon S3 Vectors 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 1.2 for Amazon S3 Vectors.
Choose Amazon S3 Vectors if…
- very low storage cost for infrequently queried data
Choose Supabase if…
- You want the brand AI engines rank higher (5.7 vs 1.2)
- You need a self-hosted or on-premises option
- You need SOC 2 Type 2 or ISO 27001 or HIPAA (BAA available) coverage
- Integrates smoothly with Firebase and Supabase
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Amazon S3 Vectors | Supabase |
|---|---|---|
| Visibility score | 1.2% | 5.7% |
| Change vs last week | New | New |
| Rank in Vector Databases | #24 | #12 |
| Share of voice | 0.5% | 2.2% |
| Mentions this run | 2 | 11 |
| Positive in AI answers | — | 18% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Amazon S3 Vectors 0pp · Supabase 0pp over 0 weekly runs.
Engine by engine
Supabase leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
Amazon S3 VectorsSupabase
Head to head in AI answers
0 engine answers name both brands
0Amazon S3 Vectors ranked higher
0Supabase ranked higher
Features, pricing & fit
| Dimension | Amazon S3 Vectors | Supabase |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Free; paid from $25 / mo |
| Free plan | — | Yes |
| Deployment | Fully managed and serverless, with no dedicated clusters to run | 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 | 2025 | 2020 |
| Headquarters | — | Remote-first, United States |
| Employees | — | 201–500 |
| Funding | — | Series D · $1000M raised |
| Best for | — | Teams building production applications on Postgres that want auth, storage, realtime and vector search in one backend |
Plans side by side
Amazon S3 Vectors
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Amazon S3 Vectors
- very low storage cost for infrequently queried data
- higher latency
- fewer database-like capabilities
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, “Amazon S3 Vectors vs Supabase”, https://slateindex.ai/compare/amazon-s3-vectors-vs-supabase, data of Nov 2, 2026. Licence: CC BY 4.0.