Amazon Relational Database Service (RDS) vs. MongoDB Atlas
A side-by-side comparison based on G2 review data.
| Metric | Amazon Relational Database Service (RDS) | MongoDB Atlas |
|---|---|---|
| Overall rating | 4.5 | 4.5 |
| Review count | 907 | 906 |
| Ease of use | 9.0 | 8.9 |
| Ease of setup | 9.0 | 8.9 |
| Quality of support | 8.8 | 8.8 |
| Meets requirements | 9.1 | 9.0 |
| NPS | 66.164542 | 70.409357 |
| Small Business | 28.8% | 45.2% |
| Mid-Market | 37.5% | 25.9% |
| Enterprise | 33.7% | 29.0% |
| Total page views | 646 | 916 |
| Total LLM citations | 2,389 | 6,190 |
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
MongoDB Atlas
MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.
- Ease of Use
- User Interface
- Scalability
- Features
- Reliability
- Performance