DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
MongoDB AtlasThe intelligent data platform for the AI era
Comparison · Vector Databases · weekly run Nov 2
Databricks 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 1.4 for Databricks, and ranks ahead in 50% of the answers that name both.
Choose Databricks if…
- AI answers describe it more positively (35% vs 28% positive)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
Choose MongoDB Atlas if…
- You want the brand AI engines rank higher (12.7 vs 1.4)
- 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
- 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 | Databricks | MongoDB Atlas |
|---|---|---|
| Visibility score | 1.4% | 12.7% |
| Change vs last week | New | New |
| Rank in Vector Databases | #22 | #8 |
| Share of voice | 0.8% | 5.5% |
| Mentions this run | 4 | 26 |
| Positive in AI answers | 35% | 28% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · MongoDB Atlas 0pp over 0 weekly runs.
Engine by engine
MongoDB Atlas leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksMongoDB Atlas
Head to head in AI answers
2 engine answers name both brands
1Databricks ranked higher
1MongoDB Atlas ranked higher
| Prompt | Engine | Databricks | MongoDB Atlas |
|---|---|---|---|
| Best vector database for enterprise | AI Mode | #6 | #7 |
| Compare the leading Vector Databases platforms | ChatGPT | #10 | #8 |
Features, pricing & fit
| Dimension | Databricks | MongoDB Atlas |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $0.011 / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Fully managed cloud with Atlas Core and Atlas Infinite deployment options, or self-managed through MongoDB Enterprise Advanced |
| Integrations | — | 100+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | ISO/IEC 27001:2022, FedRAMP Moderate (Atlas for Government), TX-RAMP Level 2, PCI DSS, HIPAA, GDPR, CSA STAR |
| Support | Technical support on request, Technical documentation | Basic Support included free with Atlas, Paid plans with faster response times, Named Technical Support Engineers, Extended Lifecycle Support add-on |
| Founded | 2013 | — |
| Headquarters | San Francisco, CA | New York, NY, United States |
| Employees | 5,000+ | 5,000+ |
| Funding | Round at $60B valuation, including secondary sale | IPO and stock offering · $311M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Development teams building AI applications and agents that need operational data, vectors and search in one platform |
Plans side by side
Databricks
Pricing not available.
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
Pros and cons
Themes from the AI answers that mention each brand
Databricks
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
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, “Databricks vs MongoDB Atlas”, https://slateindex.ai/compare/databricks-vs-mongodb-atlas, data of Nov 2, 2026. Licence: CC BY 4.0.