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 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.
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.