Mongoose vs PostgreSQL: What are the differences?
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; PostgreSQL: A powerful, open source object-relational database system. PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
Mongoose can be classified as a tool in the "Object Document Mapper (ODM)" category, while PostgreSQL is grouped under "Databases".
"Well documented" is the primary reason why developers consider Mongoose over the competitors, whereas "Relational database" was stated as the key factor in picking PostgreSQL.
Mongoose and PostgreSQL are both open source tools. It seems that Mongoose with 18.8K GitHub stars and 2.62K forks on GitHub has more adoption than PostgreSQL with 5.38K GitHub stars and 1.79K GitHub forks.
According to the StackShare community, PostgreSQL has a broader approval, being mentioned in 2701 company stacks & 2097 developers stacks; compared to Mongoose, which is listed in 85 company stacks and 88 developer stacks.
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