Amazon RDS for PostgreSQL vs MongoDB: What are the differences?
What is Amazon RDS for PostgreSQL? * Set up, operate, and scale PostgreSQL deployments in the cloud*. Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.
What is MongoDB? The database for giant ideas. MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Amazon RDS for PostgreSQL can be classified as a tool in the "PostgreSQL as a Service" category, while MongoDB is grouped under "Databases".
"Easy setup, backup, monitoring" is the primary reason why developers consider Amazon RDS for PostgreSQL over the competitors, whereas "Document-oriented storage" was stated as the key factor in picking MongoDB.
MongoDB is an open source tool with 16.3K GitHub stars and 4.1K GitHub forks. Here's a link to MongoDB's open source repository on GitHub.
Uber Technologies, Lyft, and Codecademy are some of the popular companies that use MongoDB, whereas Amazon RDS for PostgreSQL is used by Netflix, Instacart, and Product Hunt. MongoDB has a broader approval, being mentioned in 2189 company stacks & 2218 developers stacks; compared to Amazon RDS for PostgreSQL, which is listed in 167 company stacks and 29 developer stacks.
