MongoDB AtlasThe intelligent data platform for the AI era
vs
OpenSearchThe open engine for AI-powered search and observability
Comparison · Vector Databases · weekly run Nov 2
MongoDB Atlas vs OpenSearch
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 3.9 for OpenSearch, and ranks ahead in 33% of the answers that name both.
Choose MongoDB Atlas if…
- You want the brand AI engines rank higher (12.7 vs 3.9)
- AI answers describe it more positively (28% vs 0% 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
- You prefer a larger, established vendor (5,000+ employees)
Choose OpenSearch if…
- Strong general database popularity
- Hybrid keyword-plus-semantic search with dense vectors
- Suited to broader search, logging, analytics, and observability
AI visibility side by side
Latest weekly run · Nov 2
| Metric | MongoDB Atlas | OpenSearch |
|---|---|---|
| Visibility score | 12.7% | 3.9% |
| Change vs last week | New | New |
| Rank in Vector Databases | #8 | #16 |
| Share of voice | 5.5% | 1.7% |
| Mentions this run | 26 | 8 |
| Positive in AI answers | 28% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
MongoDB Atlas 0pp · OpenSearch 0pp over 0 weekly runs.
Engine by engine
MongoDB Atlas leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
MongoDB AtlasOpenSearch
Head to head in AI answers
6 engine answers name both brands
2MongoDB Atlas ranked higher
4OpenSearch ranked higher
| Prompt | Engine | MongoDB Atlas | OpenSearch |
|---|---|---|---|
| How do I choose a vector database for a mid-market team? | ChatGPT | #6 | #8 |
| How do companies store and search embeddings without a dedicated tool? | ChatGPT | #5 | #4 |
| How do companies store and search embeddings without a dedicated tool? | AI Mode | #7 | #5 |
| Top vector database options for B2B SaaS companies | Perplexity | #8 | #7 |
| Compare the leading Vector Databases platforms | Perplexity | #9 | #7 |
| Which Vector Databases vendors do analysts recommend? | ChatGPT | #5 | #8 |
Features, pricing & fit
| Dimension | MongoDB Atlas | OpenSearch |
|---|---|---|
| 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 | Self-managed, or through Amazon OpenSearch Service and managed providers such as Aiven and Instaclustr. A Kubernetes operator is available for managing clusters. |
| 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 | Community forum, Slack, GitHub, Long-term support from certified providers |
| Founded | — | 2021 |
| Headquarters | New York, NY, United States | San Francisco, CA, United States |
| Employees | 5,000+ | 51–200 |
| 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 | Organizations that want search, vector retrieval, and observability on open source software without vendor lock-in. |
Plans side by side
MongoDB Atlas
Free (M0)$0hour
Flex$0.011hour (up to $30/month)
Dedicated$0.08hour (starts at $56.94/month)
Atlas Infinite (Public Preview)$0.09hour
Enterprise Advanced (Self-managed)Customcontact sales
OpenSearch
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
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
OpenSearch
- Strong general database popularity
- Hybrid keyword-plus-semantic search with dense vectors
- Suited to broader search, logging, analytics, and observability
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “MongoDB Atlas vs OpenSearch”, https://slateindex.ai/compare/mongodb-atlas-vs-opensearch, data of Nov 2, 2026. Licence: CC BY 4.0.