Amazon RDS vs MongoDB: What are the differences?
Developers describe Amazon RDS as "Set up, operate, and scale a relational database in the cloud". Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call. On the other hand, MongoDB is detailed as "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 and MongoDB are primarily classified as "SQL Database as a Service" and "Databases" tools respectively.
"Reliable failovers", "Automated backups" and "Backed by amazon" are the key factors why developers consider Amazon RDS; whereas "Document-oriented storage", "No sql" and "Ease of use" are the primary reasons why MongoDB is favored.
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 is used by Airbnb, Netflix, and Coursera. MongoDB has a broader approval, being mentioned in 2189 company stacks & 2218 developers stacks; compared to Amazon RDS, which is listed in 1435 company stacks and 526 developer stacks.
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