Looker vs. MongoDB Atlas
A side-by-side comparison based on G2 review data.
| Metric | Looker | MongoDB Atlas |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 1,653 | 906 |
| Ease of use | 8.5 | 8.9 |
| Ease of setup | 8.5 | 8.9 |
| Quality of support | 8.8 | 8.8 |
| Meets requirements | 8.9 | 9.0 |
| NPS | 58.653241 | 70.409357 |
| Small Business | 19.6% | 45.2% |
| Mid-Market | 60.3% | 25.9% |
| Enterprise | 20.1% | 29.0% |
| Total page views | 2,894 | 916 |
| Total LLM citations | 14,147 | 6,190 |
Looker
Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation.
- Ease of Use
- Insights
- Easy Integrations
- Integrations
- Data Visualization
- Analytics
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