Azure SQL Server Stretch Database vs. EDB Postgres AI for CloudNativePG
A side-by-side comparison based on G2 review data.
| Metric | Azure SQL Server Stretch Database | EDB Postgres AI for CloudNativePG |
|---|---|---|
| Overall rating | 4.1 | 4.3 |
| Review count | 17 | 36 |
| Ease of use | 8.8 | 8.8 |
| Ease of setup | 8.9 | 8.2 |
| Quality of support | 8.0 | 8.7 |
| Meets requirements | 8.9 | 9.0 |
| NPS | 31.25 | 50 |
| Small Business | 29.4% | 27.8% |
| Mid-Market | 35.3% | 27.8% |
| Enterprise | 35.3% | 44.4% |
| Total page views | 77 | 326 |
| Total LLM citations | 21 | 457 |
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
EDB Postgres AI for CloudNativePG
EDB Postgres AI (EDB PG AI) is a sophisticated software solution designed to enhance the deployment and management of Postgres database clusters on Kubernetes. This product specifically addresses the complexities introduced by Kubernetes, enabling organizations to streamline their operations while ensuring high availability and security for their data-intensive applications.
- Database Management
- Features
- Big Data Handling
- Performance
- High Availability
- Flexibility