Amazon RDS vs MongoDB

Struggling to choose between Amazon RDS and MongoDB? Both products offer unique advantages, making it a tough decision.

Amazon RDS is a Online Services solution with tags like database, relational-database, cloud-database, aws, amazon-web-services.

It boasts features such as Automated provisioning, OS patching, and backups, Read replicas for improved read performance, Multi-AZ deployments for high availability, Supports multiple database engines (MySQL, PostgreSQL, Oracle, SQL Server, Amazon Aurora), Automatic scaling of compute and storage resources, Monitoring and logging capabilities, Secure access and data encryption and pros including Reduced database administration overhead, Scalable and highly available database infrastructure, Supports a variety of database engines, Automatic backups and disaster recovery options, Integrated with other AWS services for easier management.

On the other hand, MongoDB is a Development product tagged with nosql, document-database, open-source.

Its standout features include Document-oriented storage, Automatic sharding, Rich and expressive query language, High availability, Horizontal scalability, and it shines with pros like Flexible schema, High performance, Easy scalability, Rich query capabilities, High availability.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Amazon RDS

Amazon RDS

Amazon Relational Database Service (Amazon RDS) is a cloud-based relational database service that makes it easy to set up, operate, and scale databases in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks.

Categories:
database relational-database cloud-database aws amazon-web-services

Amazon RDS Features

  1. Automated provisioning, OS patching, and backups
  2. Read replicas for improved read performance
  3. Multi-AZ deployments for high availability
  4. Supports multiple database engines (MySQL, PostgreSQL, Oracle, SQL Server, Amazon Aurora)
  5. Automatic scaling of compute and storage resources
  6. Monitoring and logging capabilities
  7. Secure access and data encryption

Pricing

  • Pay-As-You-Go

Pros

Reduced database administration overhead

Scalable and highly available database infrastructure

Supports a variety of database engines

Automatic backups and disaster recovery options

Integrated with other AWS services for easier management

Cons

Vendor lock-in with AWS

Limited control over the underlying infrastructure

Potential performance limitations compared to on-premises databases

Additional costs for advanced features and high-availability configurations


MongoDB

MongoDB

MongoDB is a popular open-source, document-oriented NoSQL database. It stores data in flexible, JSON-like documents, rather than rows and columns used in traditional RDBMS. MongoDB is scalable, high-performance and easy to use.

Categories:
nosql document-database open-source

MongoDB Features

  1. Document-oriented storage
  2. Automatic sharding
  3. Rich and expressive query language
  4. High availability
  5. Horizontal scalability

Pricing

  • Open Source
  • Subscription-Based

Pros

Flexible schema

High performance

Easy scalability

Rich query capabilities

High availability

Cons

No transactions

No joins

Limited query flexibility compared to SQL

Steep learning curve