EDB Postgres AI Database vs. PostgreSQL
A side-by-side comparison based on G2 review data.
| Metric | EDB Postgres AI Database | PostgreSQL |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 171 | 683 |
| Ease of use | 9.0 | 8.7 |
| Ease of setup | 8.8 | 8.6 |
| Quality of support | 9.2 | 8.2 |
| Meets requirements | 9.2 | 9.2 |
| NPS | 56.287425 | 62.923077 |
| Small Business | 28.9% | 35.7% |
| Mid-Market | 43.4% | 34.5% |
| Enterprise | 27.7% | 29.8% |
| Total page views | 1,101 | 916 |
| Total LLM citations | 185 | 4,212 |
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
PostgreSQL
PostgreSQL is a powerful, open-source object-relational database system renowned for its reliability, extensibility, and adherence to SQL standards. Originating from the POSTGRES project at the University of California at Berkeley in 1986, it has evolved over nearly four decades into a robust platform capable of handling complex data workloads across various operating systems. PostgreSQL's architecture emphasizes data integrity and scalability, making it a preferred choice for developers and organizations worldwide.
- Features
- Ease of Use
- Reliability
- Scalability
- Open Source
- Flexibility