EDB Postgres AI Database vs. MySQL
A side-by-side comparison based on G2 review data.
| Metric | EDB Postgres AI Database | MySQL |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 171 | 1,686 |
| Ease of use | 9.0 | 8.9 |
| Ease of setup | 8.8 | 8.8 |
| Quality of support | 9.2 | 8.3 |
| Meets requirements | 9.2 | 9.0 |
| NPS | 56.287425 | 59.583859 |
| Small Business | 28.9% | 37.0% |
| Mid-Market | 43.4% | 30.2% |
| Enterprise | 27.7% | 32.8% |
| Total page views | 1,101 | 842 |
| Total LLM citations | 185 | 5,047 |
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
MySQL
MySQL is the world's most popular open-source database, renowned for its reliability, performance, and ease of use. It serves as the backbone for many high-profile web applications, including those of Facebook, Twitter, and YouTube. MySQL offers a comprehensive suite of features that cater to the needs of modern web, mobile, embedded, and cloud applications. Key Features and Functionality: - Transactional Data Dictionary: Implemented as a set of SQL tables stored in a single InnoDB tablespace, enhancing data management efficiency.
- Ease of Use
- Reliability
- Easy Integrations
- Performance
- Features
- Query Speed