The database world is vast and diverse, offering various systems and query languages to interact with data. Two prominent players in this arena are MongoDB, a NoSQL database, and SQL, the standard query language for relational databases. While these systems serve different purposes and use distinct data models, there are questions surrounding the similarities between MongoDB’s query language and SQL. In this exploration, we will delve into the key aspects of MongoDB’s query language and compare them with SQL to shed light on the extent to which they share common ground and where they differ. You should also study MongoDB interview questions.
MongoDB’s query language and SQL (Structured Query Language) differ significantly in syntax and structure due to the contrasting data models of the databases they are designed for. Here’s a brief comparison of the two:
Data Model:
MongoDB is a NoSQL database, which means it uses a document-oriented data model. Data is stored in flexible, semi-structured BSON (Binary JSON) documents, allowing for nested fields and arrays....
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