Azure SQL Server Stretch Database vs. Snowflake
A side-by-side comparison based on G2 review data.
| Metric | Azure SQL Server Stretch Database | Snowflake |
|---|---|---|
| Overall rating | 4.1 | 4.6 |
| Review count | 17 | 762 |
| Ease of use | 8.8 | 9.2 |
| Ease of setup | 8.9 | 9.1 |
| Quality of support | 8.0 | 8.9 |
| Meets requirements | 8.9 | 9.3 |
| NPS | 31.25 | 73.876404 |
| Small Business | 29.4% | 13.1% |
| Mid-Market | 35.3% | 44.9% |
| Enterprise | 35.3% | 42.1% |
| Total page views | 77 | 4,830 |
| Total LLM citations | 21 | 28,559 |
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
Snowflake
Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).
- Ease of Use
- Features
- Data Management
- Scalability
- Integrations
- Performance