Amazon S3 Vectors vs PostgreSQL
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
PostgreSQL is the stronger AI pick in Vector Databases: it has a visibility score of 49 versus 1.2 for Amazon S3 Vectors, and ranks ahead in 100% of the answers that name both.
Choose Amazon S3 Vectors if…
- very low storage cost for infrequently queried data
Choose PostgreSQL if…
- You want the brand AI engines rank higher (49 vs 1.2)
- Free open-source software
- Adds vector search to an existing PostgreSQL database without a new database
- Wide compatibility with drivers, BI tools, and language ecosystems
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Amazon S3 Vectors | PostgreSQL |
|---|---|---|
| Visibility score | 1.2% | 49% |
| Change vs last week | New | New |
| Rank in Vector Databases | #24 | #3 |
| Share of voice | 0.5% | 12.6% |
| Mentions this run | 2 | 59 |
| Positive in AI answers | — | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Amazon S3 Vectors 0pp · PostgreSQL 0pp over 0 weekly runs.
Engine by engine
PostgreSQL leads on 3 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | Amazon S3 Vectors | PostgreSQL |
|---|---|---|---|
| What are the best Vector Databases tools in 2026? | Perplexity | #10 | #3 |
| Most affordable vector database that is still reliable | Perplexity | #3 | #1 |
Features, pricing & fit
| Dimension | Amazon S3 Vectors | PostgreSQL |
|---|---|---|
| Deployment | Fully managed and serverless, with no dedicated clusters to run | — |
| Support | — | Community mailing lists, Community events and local user groups |
| Founded | 2025 | — |
| Headquarters | — | United States |
| Employees | — | 51–200 |
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
PostgreSQL
- Free open-source software
- Adds vector search to an existing PostgreSQL database without a new database
- Wide compatibility with drivers, BI tools, and language ecosystems
- Broad deployment and transparent self-hosted pricing
- Hosting, backups, and maintenance must be paid for when self-hosted
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Amazon S3 Vectors vs PostgreSQL”, https://slateindex.ai/compare/amazon-s3-vectors-vs-postgresql, data of Nov 2, 2026. Licence: CC BY 4.0.