AWS 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 8.2 for AWS, and ranks ahead in 50% of the answers that name both.
Choose AWS if…
- You need SOC 1 or SOC 2 or SOC 3 or ISO 27017 or ISO 27018 or ISO 27701 or PCI DSS Level 1 or FedRAMP or DoD SRG or ISO 9001 or ISO 27001 coverage
- Core federation and multi-account management included at no extra charge
- Enterprise-grade reliability and uptime on AWS infrastructure
- Pay-as-you-go, usage-based pricing
Choose MongoDB Atlas if…
- You want the brand AI engines rank higher (12.7 vs 8.2)
- AI answers describe it more positively (28% vs 16% positive)
- 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
AI visibility side by side
Latest weekly run · Nov 2
| Metric | AWS | MongoDB Atlas |
|---|---|---|
| Visibility score | 8.2% | 12.7% |
| Change vs last week | New | New |
| Rank in Vector Databases | #9 | #8 |
| Share of voice | 2.3% | 5.5% |
| Mentions this run | 11 | 26 |
| Positive in AI answers | 16% | 28% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
AWS 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
6 engine answers name both brands
| Prompt | Engine | AWS | MongoDB Atlas |
|---|---|---|---|
| How do I choose a vector database for a mid-market team? | AI Mode | #7 | #5 |
| How do companies store and search embeddings without a dedicated tool? | ChatGPT | #2 | #5 |
| What should a vector database integrate with? | ChatGPT | #4 | #2 |
| Top vector database options for B2B SaaS companies | AI Mode | #6 | #5 |
| Which Vector Databases tools offer annual discounts? | ChatGPT | #3 | #10 |
| Where can I sign up for a vector database? | AI Mode | #8 | #9 |
Features, pricing & fit
| Dimension | AWS | MongoDB Atlas |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $0.011 / mo |
| Free plan | — | Yes |
| Deployment | — | Fully managed cloud with Atlas Core and Atlas Infinite deployment options, or self-managed through MongoDB Enterprise Advanced |
| Integrations | — | 100+ |
| Compliance | SOC 1, SOC 2, SOC 3, ISO 27017, ISO 27018, ISO 27701, PCI DSS Level 1, FedRAMP, DoD SRG, ISO 9001, ISO 27001 | 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 | 2021 | — |
| Headquarters | Seattle, Washington | New York, NY, United States |
| Employees | 5,000+ | 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
AWS
Pricing not available.
MongoDB Atlas
Pros and cons
Themes from the AI answers that mention each brand
AWS
- Core federation and multi-account management included at no extra charge
- Enterprise-grade reliability and uptime on AWS infrastructure
- Pay-as-you-go, usage-based pricing
- Deep integration with the AWS ecosystem and AI tools
- Recognised by analysts such as Gartner and ISG
- Requires strong AWS engineering or technical expertise
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, “AWS vs MongoDB Atlas”, https://slateindex.ai/compare/aws-vs-mongodb-atlas, data of Nov 2, 2026. Licence: CC BY 4.0.