While SQL-based products are still very popular, NoSQL technology has been going for a long time now, showing its relevance and effectiveness. Behind this acronym stands all data storing and managing solutions not based on the relational paradigm and its main elements. Among this is the document-oriented paradigm, where data is represented as documents, which are complex virtual objects identified with some kind of code, and without a fixed scheme.

A popular product developed following this paradigm is MongoDB. This product stores data, representing it in the JSON format. Data is therefore organized into documents and collections, that is, a set of documents. A basic example of a document is the following:

{
 name: "donald" , surname: "duck",
 style: "sailor",
 friends: ["mickey mouse" , "goofy", "daisy"]
 }

As you can see, even from this basic example, the MongoDB paradigm will allow you to easily store data even with a rich and complex structure.