Azure SQL Server Stretch Database vs. MongoDB Atlas
A side-by-side comparison based on G2 review data.
| Metric | Azure SQL Server Stretch Database | MongoDB Atlas |
|---|---|---|
| Overall rating | 4.1 | 4.5 |
| Review count | 17 | 906 |
| Ease of use | 8.8 | 8.9 |
| Ease of setup | 8.9 | 8.9 |
| Quality of support | 8.0 | 8.8 |
| Meets requirements | 8.9 | 9.0 |
| NPS | 31.25 | 70.409357 |
| Small Business | 29.4% | 45.2% |
| Mid-Market | 35.3% | 25.9% |
| Enterprise | 35.3% | 29.0% |
| Total page views | 77 | 916 |
| Total LLM citations | 21 | 6,190 |
Azure SQL Server Stretch Database
Azure SQL Server Stretch Database was a feature introduced in SQL Server 2016 that allowed organizations to dynamically extend their on-premises databases to Azure, enabling seamless access to both hot and cold data without significant changes to existing applications. This capability provided virtually unlimited storage and compute capacity, facilitating efficient management of large datasets.
- Solution Efficiency
- 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