Amazon DocumentDB vs. MongoDB Atlas
A side-by-side comparison based on G2 review data.
| Metric | Amazon DocumentDB | MongoDB Atlas |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 44 | 906 |
| Ease of use | 8.8 | 8.9 |
| Ease of setup | 8.7 | 8.9 |
| Quality of support | 8.8 | 8.8 |
| Meets requirements | 8.8 | 9.0 |
| NPS | 50 | 70.409357 |
| Small Business | 34.1% | 45.2% |
| Mid-Market | 31.8% | 25.9% |
| Enterprise | 34.1% | 29.0% |
| Total page views | 191 | 916 |
| Total LLM citations | 2,648 | 6,190 |
Amazon DocumentDB
Amazon DocumentDB (with MongoDB compatibility) is a database service that is purpose-built for JSON data management at scale, fully managed and integrated with AWS, and enterprise-ready with high durability. Amazon DocumentDB is designed from the ground-up to give you the scalability and durability you need when operating mission-critical MongoDB workloads. In Amazon DocumentDB, storage scales automatically up to 64TiB without any impact to your application.
- Reliability
- Integrations
- Cloud Computing
- Easy Integrations
MongoDB Atlas
MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.
- Ease of Use
- User Interface
- Scalability
- Features
- Reliability
- Performance