Getting Started Mongo Installationīefore we get started, let’s setup Mongo. ‘Models’ are higher-order constructors that take a schema and create an instance of a document equivalent to records in a relational database. A Mongoose ‘schema’ is a document data structure (or shape of the document) that is enforced via the application layer. While Mongo is schema-less, SQL defines a schema via the table definition. ‘Fields’ or attributes are similar to columns in a SQL table. While a SQL row can reference data in other tables, Mongo documents usually combine that in a document. ‘Documents’ are equivalent to records or rows of data in SQL. ‘Collections’ in Mongo are equivalent to tables in relational databases. Relational Tables in SQL Terminologies Collections This is one of the advantages of using NoSQL as it speeds up application development and reduces the complexity of deployments.īelow is an example of how data is stored in Mongo vs. It means you can store JSON documents in it, and the structure of these documents can vary as it is not enforced like SQL databases. MongoDB is a schema-less NoSQL document database. Object Mapping between Node and MongoDB managed via Mongoose
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It manages relationships between data, provides schema validation, and is used to translate between objects in code and the representation of those objects in MongoDB. Mongoose is an Object Data Modeling (ODM) library for MongoDB and Node.js. By Nick Karnik Introduction to Mongoose for MongoDB
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