EDB Postgres AI Database vs. Azure SQL Database
A side-by-side comparison based on G2 review data.
| Metric | EDB Postgres AI Database | Azure SQL Database |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 171 | 242 |
| Ease of use | 9.0 | 9.0 |
| Ease of setup | 8.8 | 8.9 |
| Quality of support | 9.2 | 9.0 |
| Meets requirements | 9.2 | 9.2 |
| NPS | 56.287425 | 66.094421 |
| Small Business | 28.9% | 26.7% |
| Mid-Market | 43.4% | 32.9% |
| Enterprise | 27.7% | 40.4% |
| Total page views | 1,101 | 357 |
| Total LLM citations | 185 | 1,499 |
EDB Postgres AI Database
EDB delivers an always-on, multi-model Postgres engine built on open source and extended with the enterprise capabilities that mission-critical workloads demand. It powers transactional, analytical, and AI workloads with support for relational, vector, document, and time-series data, so teams work with one engine and one set of Postgres skills instead of maintaining specialized systems for each data type.
- Customer Support
- Performance
- Migration Ease
- Data Security
- Security
- Compatibility
Azure SQL Database
Azure SQL Database is a fully managed, intelligent relational database service built on the Microsoft SQL Server engine, designed to support modern cloud applications. It offers scalability, high availability, and robust security features, enabling developers to build and maintain applications without the complexities of infrastructure management. Key Features and Functionality: - Hyperscale Storage: Rapidly scale storage resources to meet demand, supporting large databases with up to 100 TB capacity.
- Scalability
- Integrations
- Ease of Use
- Security
- Easy Integrations
- Features