Amazon OpenSearch 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 0 for Amazon OpenSearch.
Choose Amazon OpenSearch if…
- You need HIPAA eligible or SOC or ISO or FedRAMP or DoD CC SRG or FIPS 140-2 or ISO 27017 coverage
Choose MongoDB Atlas if…
- You want the brand AI engines rank higher (12.7 vs 0)
- You need ISO/IEC 27001:2022 or FedRAMP Moderate (Atlas for Government) or TX-RAMP Level 2 or HIPAA or GDPR 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 OpenSearch | MongoDB Atlas |
|---|---|---|
| Visibility score | 0% | 12.7% |
| Change vs last week | New | New |
| Rank in Vector Databases | #28 | #8 |
| Share of voice | 0% | 5.5% |
| Mentions this run | 0 | 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 OpenSearch 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 OpenSearch | MongoDB Atlas |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $0.011 / mo |
| Free plan | — | Yes |
| Deployment | Fully managed clusters or the Serverless option | Fully managed cloud with Atlas Core and Atlas Infinite deployment options, or self-managed through MongoDB Enterprise Advanced |
| Integrations | — | 100+ |
| Compliance | HIPAA eligible, PCI DSS, SOC, ISO, FedRAMP, DoD CC SRG, CSA STAR, FIPS 140-2, ISO 27017 | 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 |
| 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
Amazon OpenSearch
Pricing not available.
MongoDB Atlas
Pros and cons
Themes from the AI answers that mention each brand
Amazon OpenSearch
Profile in progress.
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 OpenSearch vs MongoDB Atlas”, https://slateindex.ai/compare/amazon-opensearch-vs-mongodb-atlas, data of Nov 2, 2026. Licence: CC BY 4.0.