CrateDB 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 0 for CrateDB, and ranks ahead in 0% of the answers that name both.
Choose CrateDB if…
- You need ISO 27001 (CrateDB Cloud on AWS and Azure) or SOC 2 Type II coverage
- Handles massive time-series, IoT, and operational data in real time
- Strong for high-volume real-time analytics
- Horizontal scalability with SQL access
Choose MongoDB Atlas if…
- You want the brand AI engines rank higher (12.7 vs 0)
- You want a lower entry price ($0.011 vs $0.073)
- 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
AI visibility side by side
Latest weekly run · Nov 2
| Metric | CrateDB | MongoDB Atlas |
|---|---|---|
| Visibility score | 0% | 12.7% |
| Change vs last week | New | New |
| Rank in Vector Databases | #29 | #8 |
| Share of voice | 0% | 5.5% |
| Mentions this run | 0 | 26 |
| Positive in AI answers | 0% | 28% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
CrateDB 0pp · MongoDB Atlas 0pp over 0 weekly runs.
Engine by engine
MongoDB Atlas leads on 3 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | CrateDB | MongoDB Atlas |
|---|---|---|---|
| What are the pros and cons of CrateDB? | ChatGPT | #1 | #3 |
Features, pricing & fit
| Dimension | CrateDB | MongoDB Atlas |
|---|---|---|
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $0.073 / mo | Free; paid from $0.011 / mo |
| Free plan | Yes | Yes |
| Deployment | On-prem, at the edge, in public or private cloud, or fully managed on CrateDB Cloud or STACKIT. | Fully managed cloud with Atlas Core and Atlas Infinite deployment options, or self-managed through MongoDB Enterprise Advanced |
| Integrations | — | 100+ |
| Compliance | ISO 27001 (CrateDB Cloud on AWS and Azure), SOC 2 Type II | ISO/IEC 27001:2022, FedRAMP Moderate (Atlas for Government), TX-RAMP Level 2, PCI DSS, HIPAA, GDPR, CSA STAR |
| Support | Development support (free plan), Basic support (included with dedicated plans), Premium support (optional) | Basic Support included free with Atlas, Paid plans with faster response times, Named Technical Support Engineers, Extended Lifecycle Support add-on |
| Founded | 2013 | — |
| Headquarters | Vienna, Austria | New York, NY, United States |
| Employees | 11–50 | 5,000+ |
| Funding | Seed round (per Caplight, amount not stated) | IPO and stock offering · $311M raised |
| Best for | Teams with high-volume, high-cardinality operational data, such as sensor, telemetry and event streams, who need real-time analytics, search and vector queries without ETL. | Development teams building AI applications and agents that need operational data, vectors and search in one platform |
Plans side by side
CrateDB
MongoDB Atlas
Pros and cons
Themes from the AI answers that mention each brand
CrateDB
- Handles massive time-series, IoT, and operational data in real time
- Strong for high-volume real-time analytics
- Horizontal scalability with SQL access
- Weaker than full transactional guarantees
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, “CrateDB vs MongoDB Atlas”, https://slateindex.ai/compare/cratedb-vs-mongodb-atlas, data of Nov 2, 2026. Licence: CC BY 4.0.