1. Each database contains collections which in turn contains documents. Each document can be different with a varying number of fields. The size and content of each document can be different from each other.
2. The document structure is more in line with how developers construct
their classes and objects in their respective programming languages. Developers
will often say that their classes are not rows and columns but have a clear
structure with key-value pairs.
3. As seen in the introduction with NoSQL databases, the rows (or
documents as called in MongoDB) doesn’t need to have a schema defined
beforehand. Instead, the fields can be created on the fly.
4. The data model available within MongoDB allows you to represent
hierarchical relationships, to store arrays, and other more complex structures
more easily.
5. Scalability – The MongoDB environments are very scalable. Companies across
the world have defined clusters with some of them running 100+ nodes with
around millions of documents
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