MongoDB Atlas vs Weaviate
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Weaviate is the stronger AI pick in Vector Databases: it has a visibility score of 45.2 versus 12.7 for MongoDB Atlas, and ranks ahead in 86% of the answers that name both.
Choose MongoDB Atlas if…
- You want a lower entry price ($0.011 vs $45)
- 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 Weaviate if…
- You want the brand AI engines rank higher (45.2 vs 12.7)
- AI answers describe it more positively (59% vs 28% positive)
- You need SOC 2 Type II or HIPAA (Enterprise Cloud on AWS) coverage
- Strong native hybrid search
AI visibility side by side
Latest weekly run · Nov 2
| Metric | MongoDB Atlas | Weaviate |
|---|---|---|
| Visibility score | 12.7% | 45.2% |
| Change vs last week | New | New |
| Rank in Vector Databases | #8 | #4 |
| Share of voice | 5.5% | 11.7% |
| Mentions this run | 26 | 56 |
| Positive in AI answers | 28% | 59% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
MongoDB Atlas 0pp · Weaviate 0pp over 0 weekly runs.
Engine by engine
Weaviate leads on 3 of 3 engines
Head to head in AI answers
22 engine answers name both brands
| Prompt | Engine | MongoDB Atlas | Weaviate |
|---|---|---|---|
| How do I choose a vector database for a mid-market team? | ChatGPT | #6 | #4 |
| How do I choose a vector database for a mid-market team? | AI Mode | #5 | #3 |
| What features matter most in a vector database? | ChatGPT | #6 | #3 |
| How do companies store and search embeddings without a dedicated tool? | ChatGPT | #5 | #9 |
| What are the best Vector Databases tools in 2026? | ChatGPT | #10 | #3 |
| What are the best Vector Databases tools in 2026? | AI Mode | #8 | #4 |
| Top vector database options for B2B SaaS companies | AI Mode | #5 | #3 |
| Top vector database options for B2B SaaS companies | Perplexity | #8 | #4 |
| Best vector database for enterprise | AI Mode | #7 | #4 |
| Compare the leading Vector Databases platforms | ChatGPT | #8 | #3 |
| Compare the leading Vector Databases platforms | Perplexity | #9 | #2 |
| Which vector database has the best reviews? | ChatGPT | #3 | #5 |
Features, pricing & fit
| Dimension | MongoDB Atlas | Weaviate |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $0.011 / mo | Free; paid from $45 / mo |
| Free plan | Yes | Yes |
| Deployment | Fully managed cloud with Atlas Core and Atlas Infinite deployment options, or self-managed through MongoDB Enterprise Advanced | Serverless, Enterprise Cloud, or Bring Your Own Cloud |
| 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, HIPAA (Enterprise Cloud on AWS) |
| Support | Basic Support included free with Atlas, Paid plans with faster response times, Named Technical Support Engineers, Extended Lifecycle Support add-on | Email support on all plans, Phone and Slack support on Premium and Dedicated plans, Technical Account Team add-on on Premium and Dedicated plans |
| Founded | — | 2019 |
| Headquarters | New York, NY, United States | Amsterdam, Netherlands |
| Employees | 5,000+ | 51–200 |
| Funding | IPO and stock offering · $311M raised | Strategic investment (Ricoh corporate venture fund) |
| Best for | Development teams building AI applications and agents that need operational data, vectors and search in one platform | Development teams and enterprises building search, RAG and agent applications who want an open-source, production-ready vector database. |
Plans side by side
MongoDB Atlas
Weaviate
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
Weaviate
- Strong native hybrid search
- Open-source and modular AI-native design
- Free tier or trial to start
- Flexible indexing and configurable managed service
- Published pricing with an annual-commitment option
- Monthly minimum charges
- Higher tiers priced steeply above entry plan
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “MongoDB Atlas vs Weaviate”, https://slateindex.ai/compare/mongodb-atlas-vs-weaviate, data of Nov 2, 2026. Licence: CC BY 4.0.