Amazon S3 Vectors vs MongoDB Atlas
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
MongoDB Atlas is the stronger AI pick in Vector Databases: it has a visibility score of 12.7 versus 1.2 for Amazon S3 Vectors.
Choose Amazon S3 Vectors if…
- very low storage cost for infrequently queried data
Choose MongoDB Atlas if…
- You want the brand AI engines rank higher (12.7 vs 1.2)
- You need ISO/IEC 27001:2022 or FedRAMP Moderate (Atlas for Government) or TX-RAMP Level 2 or PCI DSS or HIPAA or GDPR or CSA STAR coverage
- stores documents and vector embeddings together in one system
- good fit for teams already using MongoDB
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Amazon S3 Vectors | MongoDB Atlas |
|---|---|---|
| Visibility score | 1.2% | 12.7% |
| Change vs last week | New | New |
| Rank in Vector Databases | #24 | #8 |
| Share of voice | 0.5% | 5.5% |
| Mentions this run | 2 | 26 |
| Positive in AI answers | — | 28% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Amazon S3 Vectors 0pp · MongoDB Atlas 0pp over 0 weekly runs.
Engine by engine
MongoDB Atlas leads on 3 of 3 engines
Head to head in AI answers
0 engine answers name both brands
Features, pricing & fit
| Dimension | Amazon S3 Vectors | MongoDB Atlas |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $0.011 / mo |
| Free plan | — | Yes |
| Deployment | Fully managed and serverless, with no dedicated clusters to run | Fully managed cloud with Atlas Core and Atlas Infinite deployment options, or self-managed through MongoDB Enterprise Advanced |
| Integrations | — | 100+ |
| Compliance | — | ISO/IEC 27001:2022, FedRAMP Moderate (Atlas for Government), TX-RAMP Level 2, PCI DSS, HIPAA, GDPR, CSA STAR |
| Support | — | Basic Support included free with Atlas, Paid plans with faster response times, Named Technical Support Engineers, Extended Lifecycle Support add-on |
| Founded | 2025 | — |
| Headquarters | — | New York, NY, United States |
| Employees | — | 5,000+ |
| Funding | — | IPO and stock offering · $311M raised |
| Best for | — | Development teams building AI applications and agents that need operational data, vectors and search in one platform |
Plans side by side
Amazon S3 Vectors
Pricing not available.
MongoDB Atlas
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
MongoDB Atlas
- stores documents and vector embeddings together in one system
- good fit for teams already using MongoDB
- built-in vector search without extra infrastructure
- vector search included in Atlas pricing with a free M0 tier
- integration with Databricks Lakebase
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Amazon S3 Vectors vs MongoDB Atlas”, https://slateindex.ai/compare/amazon-s3-vectors-vs-mongodb-atlas, data of Nov 2, 2026. Licence: CC BY 4.0.