MongoDB provides the possibility to store data with a flexible and dynamic schema. This is an advantage over SQL relational databases where you must define and declare the structure of the data prior to inserting it in the database, and where it becomes hard to modify that structure afterwards. MongoDB stores data in documents, and collections of documents do not enforce the structure of the documents, even if these documents have a similar structure.
The challenge in MongoDB data modeling is to balance such flexibility with the needs of an application to access data with predictable patterns. The buzz around the “schemaless” and “non-relational” nature of NoSQL has promoted the illusion of a magical solution. But the reality is that it is harder to design an application with no structure, no schema, and no relationships. This is where Hackolade provides critical added value with its visual schema design and MongoDB schema generation capabilities.