MongoDB AtlasThe intelligent data platform for the AI era
vs
turbopufferVector and full-text search built on object storage
Comparison · Vector Databases · weekly run Nov 2
MongoDB Atlas vs turbopuffer
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 4.6 for turbopuffer, and ranks ahead in 100% of the answers that name both.
Choose MongoDB Atlas if…
- You want the brand AI engines rank higher (12.7 vs 4.6)
- You want a free plan to start
- 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 turbopuffer if…
- AI answers describe it more positively (33% vs 28% positive)
- You need SOC 2 Type 2 or HIPAA (Business Associate Agreement available) or GDPR-ready DPA coverage
- serverless vector and full-text search built on object storage
- high performance at a fraction of traditional costs
AI visibility side by side
Latest weekly run · Nov 2
| Metric | MongoDB Atlas | turbopuffer |
|---|---|---|
| Visibility score | 12.7% | 4.6% |
| Change vs last week | New | New |
| Rank in Vector Databases | #8 | #14 |
| Share of voice | 5.5% | 1.9% |
| Mentions this run | 26 | 9 |
| Positive in AI answers | 28% | 33% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
MongoDB Atlas 0pp · turbopuffer 0pp over 0 weekly runs.
Engine by engine
MongoDB Atlas leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
MongoDB Atlasturbopuffer
Head to head in AI answers
5 engine answers name both brands
5MongoDB Atlas ranked higher
0turbopuffer ranked higher
| Prompt | Engine | MongoDB Atlas | turbopuffer |
|---|---|---|---|
| What are the best Vector Databases tools in 2026? | ChatGPT | #10 | #11 |
| Alternatives to the most popular vector database | AI Mode | #4 | #7 |
| Alternatives to the most popular vector database | Perplexity | #8 | #10 |
| Official website of the top vector database vendors | ChatGPT | #9 | #12 |
| Official website of the top vector database vendors | Perplexity | #8 | #13 |
Features, pricing & fit
| Dimension | MongoDB Atlas | turbopuffer |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $0.011 / mo | $16 / mo |
| Free plan | Yes | No |
| Deployment | Fully managed cloud with Atlas Core and Atlas Infinite deployment options, or self-managed through MongoDB Enterprise Advanced | Multi-tenant cloud on usage-based plans; single-tenant and bring-your-own-cloud (BYOC) deployments on the enterprise plan. |
| Integrations | 100+ | — |
| Compliance | ISO/IEC 27001:2022, FedRAMP Moderate (Atlas for Government), TX-RAMP Level 2, PCI DSS, HIPAA, GDPR, CSA STAR | SOC 2 Type 2, HIPAA (Business Associate Agreement available), GDPR-ready DPA |
| Support | Basic Support included free with Atlas, Paid plans with faster response times, Named Technical Support Engineers, Extended Lifecycle Support add-on | Community Slack and email on all plans, Private Slack channel on higher plans, 24/7 support and 99.95% uptime SLA on enterprise |
| Founded | — | 2023 |
| Headquarters | New York, NY, United States | Ottawa, Ontario, Canada |
| Employees | 5,000+ | 11–50 |
| Funding | IPO and stock offering · $311M raised | Seed |
| Best for | Development teams building AI applications and agents that need operational data, vectors and search in one platform | Teams building AI applications, semantic search or recommendation systems that need large-scale vector and full-text search at lower cost. |
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
turbopuffer
launch$16month minimum usage
scale$256month minimum usage
enterprise$4,096month minimum usage (>= $4,096/month, 35% usage premium)
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
turbopuffer
- serverless vector and full-text search built on object storage
- high performance at a fraction of traditional costs
- cloud-native, cost-conscious design
- ranked among highest vendors in an industry ranking
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “MongoDB Atlas vs turbopuffer”, https://slateindex.ai/compare/mongodb-atlas-vs-turbopuffer, data of Nov 2, 2026. Licence: CC BY 4.0.