Databases 2 min read

SQL vs MongoDB: Mapping Operations and Concepts Explained

This article compares relational SQL statements with MongoDB’s document‑oriented commands, presenting a side‑by‑side mapping of concepts and CRUD operations, illustrated with example documents and images to help developers quickly grasp MongoDB’s approach.

Java High-Performance Architecture
Java High-Performance Architecture
Java High-Performance Architecture
SQL vs MongoDB: Mapping Operations and Concepts Explained

Relational databases use standard SQL statements, whereas MongoDB is a document‑oriented database with different concepts and operations. The tables below map SQL commands to their MongoDB equivalents, helping readers quickly become familiar with MongoDB’s approach.

Concept Name Correspondence

SQL concepts such as tables, rows, and columns correspond to MongoDB collections and documents.

SQL vs MongoDB Operations

Assume a relational users table and a MongoDB users collection containing documents like:

{
  _id: ObjectId("509a8fb2f3f4948bd2f983a0"),
  user_id: "abc123",
  age: 55,
  status: "A"
}

Create / Alter Table

Create/Alter table illustration
Create/Alter table illustration

Insert

Insert illustration
Insert illustration

Select

Select illustration
Select illustration
Select additional illustration
Select additional illustration

EXPLAIN

Explain illustration
Explain illustration

Update

Update illustration
Update illustration

Delete

Delete illustration
Delete illustration

All content is compiled from the official MongoDB documentation: https://docs.mongodb.com/manual/reference/sql-comparison/.

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SQLCRUDMongoDBdatabase comparisonNoSQL
Java High-Performance Architecture
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