Azure SQL Server Stretch Database vs. Prometheus
A side-by-side comparison based on G2 review data.
| Metric | Azure SQL Server Stretch Database | Prometheus |
|---|---|---|
| Overall rating | 4.1 | 4.5 |
| Review count | 17 | 60 |
| Ease of use | 8.8 | 8.4 |
| Ease of setup | 8.9 | 8.4 |
| Quality of support | 8.0 | 8.1 |
| Meets requirements | 8.9 | 9.0 |
| NPS | 31.25 | 62.711864 |
| Small Business | 29.4% | 33.3% |
| Mid-Market | 35.3% | 38.3% |
| Enterprise | 35.3% | 28.3% |
| Total page views | 77 | 218 |
| Total LLM citations | 21 | 1,069 |
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
Prometheus
Prometheus is an open-source systems monitoring and alerting toolkit designed for reliability and scalability. It collects and stores metrics as time series data, enabling real-time monitoring of applications, systems, and services. With its powerful query language, PromQL, users can analyze and visualize data effectively. Prometheus operates independently, requiring no external dependencies, and integrates seamlessly with various service discovery mechanisms, making it ideal for dynamic environments.
- Easy Integrations
- Integrations
- Alerting System
- Real-time Monitoring
- Monitoring
- Speed