G2 Vendor Directory

Amazon Relational Database Service (RDS) vs. MongoDB Atlas

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

MetricAmazon Relational Database Service (RDS)

by Amazon Web Services (AWS)

MongoDB Atlas

by MongoDB

Overall rating4.54.5
Review count907906
Ease of use9.08.9
Ease of setup9.08.9
Quality of support8.88.8
Meets requirements9.19.0
NPS66.16454270.409357
Small Business28.8%45.2%
Mid-Market37.5%25.9%
Enterprise33.7%29.0%
Total page views646916
Total LLM citations2,3896,190

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.

Pros

  • 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.

Pros

  • Ease of Use
  • User Interface
  • Scalability
  • Features
  • Reliability
  • Performance