SQL vs NoSQL — MongoDB Technical Interview Questions & Answers

Side-by-side comparison table.

SQL vs NoSQL

  • Simple meaning: SQL databases use tables and a schema. NoSQL is a family (document, key-value, column, graph). MongoDB is document NoSQL.
  • SQL: JOIN, FK, uniform rows. NoSQL Mongo: nested docs, fewer joins, easier horizontal scale story.
  • Not “NoSQL means no structure”. You still model data.
  • Interview tip: Define both, place Mongo as document store, give one app each.

Technical Interview Tip: NoSQL ≠ no schema thinking.

Code Examples for SQL vs NoSQL

SQL vs NoSQL — working example

// Collection "users" holds BSON documents (JSON-like):
db.users.insertOne({
  name: "Ada",
  email: "ada@example.com",
  age: 36,
  skills: ["Java", "MongoDB"],
  address: { city: "Pune", pin: "411001" }
})
db.users.find({ "address.city": "Pune" })

SQL vs NoSQL — mongoDB stores BSON documents in collections — flexible schema, nested fields, rich queries.

How to Explain SQL vs NoSQL to an Interviewer

Is MongoDB SQL?

No — document NoSQL Query with filter documents, not SQL