EDB Postgres AI Database vs. Amazon Relational Database Service (RDS)
A side-by-side comparison based on G2 review data.
| Metric | EDB Postgres AI Database | Amazon Relational Database Service (RDS) |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 171 | 907 |
| Ease of use | 9.0 | 9.0 |
| Ease of setup | 8.8 | 9.0 |
| Quality of support | 9.2 | 8.8 |
| Meets requirements | 9.2 | 9.1 |
| NPS | 56.287425 | 66.164542 |
| Small Business | 28.9% | 28.8% |
| Mid-Market | 43.4% | 37.5% |
| Enterprise | 27.7% | 33.7% |
| Total page views | 1,101 | 646 |
| Total LLM citations | 185 | 2,389 |
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
Amazon Relational Database Service (RDS)
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines.
- Ease of Use
- Scalability
- Setup Ease
- Security
- Backup Services
- Reliability