PopSQL vs. MongoDB Atlas
A side-by-side comparison based on G2 review data.
| Metric | PopSQL | MongoDB Atlas |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 81 | 906 |
| Ease of use | 9.5 | 8.9 |
| Ease of setup | 9.9 | 8.9 |
| Quality of support | 9.2 | 8.8 |
| Meets requirements | 9.2 | 9.0 |
| NPS | 75 | 70.409357 |
| Small Business | 42.0% | 45.2% |
| Mid-Market | 37.0% | 25.9% |
| Enterprise | 21.0% | 29.0% |
| Total page views | 85 | 916 |
| Total LLM citations | 413 | 6,190 |
PopSQL
PopSQL is the evolution of legacy SQL editors like DataGrip, DBeaver, Postico. We provide a beautiful, modern SQL editor for data focused teams looking to save time, improve data accuracy, onboard new hires faster, and deliver insights to the business fast. With PopSQL, users can easily understand their data model, write version controlled SQL, collaborate with live presence, visualize data in charts and dashboards, schedule reports, share results, and organize foundational queries for search and discovery.
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