MongoDB AtlasThe intelligent data platform for the AI era
vs
Zilliz CloudThe Vector Lakebase for AI
Comparison · Vector Databases · weekly run Nov 2
MongoDB Atlas vs Zilliz Cloud
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Zilliz Cloud is the stronger AI pick in Vector Databases: it has a visibility score of 23 versus 12.7 for MongoDB Atlas, and ranks ahead in 85% of the answers that name both.
Choose MongoDB Atlas if…
- You want a lower entry price ($0.011 vs $197)
- 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)
- stores documents and vector embeddings together in one system
Choose Zilliz Cloud if…
- You want the brand AI engines rank higher (23 vs 12.7)
- AI answers describe it more positively (32% vs 28% positive)
- You need SOC 2 Type II or ISO/IEC 27001 or GDPR ready or HIPAA ready coverage
- built for billion-scale vector workloads
AI visibility side by side
Latest weekly run · Nov 2
| Metric | MongoDB Atlas | Zilliz Cloud |
|---|---|---|
| Visibility score | 12.7% | 23% |
| Change vs last week | New | New |
| Rank in Vector Databases | #8 | #5 |
| Share of voice | 5.5% | 6.3% |
| Mentions this run | 26 | 30 |
| Positive in AI answers | 28% | 32% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
MongoDB Atlas 0pp · Zilliz Cloud 0pp over 0 weekly runs.
Engine by engine
Zilliz Cloud leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
MongoDB AtlasZilliz Cloud
Head to head in AI answers
13 engine answers name both brands
2MongoDB Atlas ranked higher
11Zilliz Cloud ranked higher
| Prompt | Engine | MongoDB Atlas | Zilliz Cloud |
|---|---|---|---|
| How do I choose a vector database for a mid-market team? | ChatGPT | #6 | #5 |
| What features matter most in a vector database? | ChatGPT | #6 | #5 |
| What are the best Vector Databases tools in 2026? | AI Mode | #8 | #2 |
| Top vector database options for B2B SaaS companies | Perplexity | #8 | #5 |
| Best vector database for enterprise | AI Mode | #7 | #2 |
| Compare the leading Vector Databases platforms | ChatGPT | #8 | #4 |
| Compare the leading Vector Databases platforms | Perplexity | #9 | #4 |
| Which vector database has the best reviews? | ChatGPT | #3 | #1 |
| Which vector database has transparent pricing? | Perplexity | #3 | #4 |
| Which Vector Databases tools offer annual discounts? | ChatGPT | #10 | #2 |
| Which Vector Databases tools offer annual discounts? | Perplexity | #6 | #4 |
| Official website of the top vector database vendors | ChatGPT | #9 | #14 |
Features, pricing & fit
| Dimension | MongoDB Atlas | Zilliz Cloud |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $0.011 / mo | Free; paid from $197 / mo |
| Free plan | Yes | Yes |
| Deployment | Fully managed cloud with Atlas Core and Atlas Infinite deployment options, or self-managed through MongoDB Enterprise Advanced | Fully managed SaaS, bring-your-own-cloud (BYOC) with data in the customer's VPC, and self-run open-source Milvus |
| 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 II, ISO/IEC 27001, GDPR ready, HIPAA ready |
| Support | Basic Support included free with Atlas, Paid plans with faster response times, Named Technical Support Engineers, Extended Lifecycle Support add-on | Community support bot, Email/ticket portal, Slack private channel, Zoom, Google Meet or Teams calls |
| Founded | — | 2017 |
| Headquarters | New York, NY, United States | Redwood City, California |
| Employees | 5,000+ | 51–200 |
| Funding | IPO and stock offering · $311M raised | Series B extension · $113M raised |
| Best for | Development teams building AI applications and agents that need operational data, vectors and search in one platform | Teams running production AI applications that need low-latency vector search at scale, and regulated sectors such as healthcare and finance |
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
Zilliz Cloud
Free$0month
Standard$0month (Serverless, from); from $126/month Dedicated
Enterprise$197month (Dedicated, from)
Business CriticalCustomcontact sales
BYOC (Bring Your Own Cloud)Customcontact sales
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
Zilliz Cloud
- built for billion-scale vector workloads
- free tier with 5 GB storage
- managed Milvus cloud option
- transparent pricing with pay-as-you-go options
- free trial with $100 in credits
- requires team able to support distributed infrastructure
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “MongoDB Atlas vs Zilliz Cloud”, https://slateindex.ai/compare/mongodb-atlas-vs-zilliz-cloud, data of Nov 2, 2026. Licence: CC BY 4.0.