Google Cloud SQL vs. MongoDB Atlas
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud SQL | MongoDB Atlas |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 367 | 906 |
| Ease of use | 9.3 | 8.9 |
| Ease of setup | 9.3 | 8.9 |
| Quality of support | 8.9 | 8.8 |
| Meets requirements | 9.2 | 9.0 |
| NPS | 69.859155 | 70.409357 |
| Small Business | 33.2% | 45.2% |
| Mid-Market | 40.4% | 25.9% |
| Enterprise | 26.4% | 29.0% |
| Total page views | 820 | 916 |
| Total LLM citations | 17,069 | 6,190 |
Google Cloud SQL
Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems.
- Database Management
- Integrations
- Easy Integrations
- Ease of Use
- Scalability
- Features
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