EDB Postgres AI Database vs. Microsoft SQL Server
A side-by-side comparison based on G2 review data.
| Metric | EDB Postgres AI Database | Microsoft SQL Server |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 171 | 2,289 |
| Ease of use | 9.0 | 8.8 |
| Ease of setup | 8.8 | 8.4 |
| Quality of support | 9.2 | 8.6 |
| Meets requirements | 9.2 | 9.2 |
| NPS | 56.287425 | 57.082552 |
| Small Business | 28.9% | 18.7% |
| Mid-Market | 43.4% | 36.3% |
| Enterprise | 27.7% | 45.0% |
| Total page views | 1,101 | 1,482 |
| Total LLM citations | 185 | 2,771 |
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
Microsoft SQL Server
SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.
- Ease of Use
- Database Management
- Performance
- Easy Integrations
- Features
- Integrations