Document databases are specialized NoSQL databases that store, index, and query complex and possibly deeply nested document-like objects. All documents are stored within a collection, which is the equivalent of a table in a relational database. The key differentiation that makes document databases unique is that they do not enforce a particular schema (that is, they are schema-less) but rather infer the schema from the stored data. This design decision allows us to store different types of documents in the same collection. What's more, both the schema and contents of each individual document can evolve over time with no visible impact on the database's query performance.
Contrary to relational databases, which have standardized ...