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