G2 Vendor Directory

EDB Postgres AI Database vs. Amazon Relational Database Service (RDS)

A side-by-side comparison based on G2 review data.

MetricEDB Postgres AI Database

by EnterpriseDB (EDB)

Amazon Relational Database Service (RDS)

by Amazon Web Services (AWS)

Overall rating4.44.5
Review count171907
Ease of use9.09.0
Ease of setup8.89.0
Quality of support9.28.8
Meets requirements9.29.1
NPS56.28742566.164542
Small Business28.9%28.8%
Mid-Market43.4%37.5%
Enterprise27.7%33.7%
Total page views1,101646
Total LLM citations1852,389

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.

Pros

  • 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.

Pros

  • Ease of Use
  • Scalability
  • Setup Ease
  • Security
  • Backup Services
  • Reliability