Amazon DynamoDB vs Mongoose: What are the differences?
What is Amazon DynamoDB? Fully managed NoSQL database service. All data items are stored on Solid State Drives (SSDs), and are replicated across 3 Availability Zones for high availability and durability. With DynamoDB, you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
What is Mongoose? MongoDB object modeling designed to work in an asynchronous environment. Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.
Amazon DynamoDB and Mongoose are primarily classified as "NoSQL Database as a Service" and "Object Document Mapper (ODM)" tools respectively.
"Predictable performance and cost" is the top reason why over 53 developers like Amazon DynamoDB, while over 14 developers mention "Well documented" as the leading cause for choosing Mongoose.
Mongoose is an open source tool with 19K GitHub stars and 2.63K GitHub forks. Here's a link to Mongoose's open source repository on GitHub.
According to the StackShare community, Amazon DynamoDB has a broader approval, being mentioned in 444 company stacks & 187 developers stacks; compared to Mongoose, which is listed in 88 company stacks and 92 developer stacks.
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What is Amazon DynamoDB?
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