Mongoose vs MySQL: What are the differences?
Developers describe Mongoose as "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. On the other hand, MySQL is detailed as "The world's most popular open source database". The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
Mongoose belongs to "Object Document Mapper (ODM)" category of the tech stack, while MySQL can be primarily classified under "Databases".
"Well documented" is the primary reason why developers consider Mongoose over the competitors, whereas "Sql" was stated as the key factor in picking MySQL.
Mongoose and MySQL are both open source tools. Mongoose with 18.8K GitHub stars and 2.62K forks on GitHub appears to be more popular than MySQL with 3.91K GitHub stars and 1.54K GitHub forks.
According to the StackShare community, MySQL has a broader approval, being mentioned in 2965 company stacks & 2944 developers stacks; compared to Mongoose, which is listed in 85 company stacks and 88 developer stacks.
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