SQL to MongoDB Converter

Convert SQL SELECT queries to MongoDB find() or aggregate() syntax. Supports WHERE, ORDER BY, LIMIT, GROUP BY, and JOIN operations.

SQL Query

Examples

SQL to MongoDB Mapping

SQL	MongoDB
WHERE	find({...})
AND	$and / implicit
OR	$or
=	$eq / direct
>, >=, <, <=	$gt, $gte, $lt, $lte
IN (...)	$in
LIKE '%x%'	$regex
ORDER BY	.sort({...})
LIMIT	.limit(n)
OFFSET	.skip(n)
GROUP BY	$group

MongoDB Query

// Enter a SQL query to see the MongoDB equivalent

What is This Tool?

A SQL to MongoDB converter translates SQL queries into MongoDB query syntax. Convert SELECT, INSERT, UPDATE, and DELETE statements to their MongoDB equivalents using find(), insertOne(), updateMany(), and aggregate() — helping SQL developers transition to NoSQL.

MongoDB uses a document-oriented query language that differs fundamentally from SQL. WHERE clauses become query filter objects, JOINs become $lookup aggregations, GROUP BY becomes $group pipeline stages, and ORDER BY becomes sort(). This tool bridges the conceptual gap between relational and document databases.

Common Use Cases

SQL to NoSQL Migration

Convert existing SQL queries to MongoDB syntax when migrating applications from relational databases to MongoDB.

Learning MongoDB

Understand MongoDB query syntax by seeing familiar SQL queries translated to their NoSQL equivalents.

Query Development

Draft complex MongoDB aggregation pipelines by first expressing the logic in SQL, then converting.

Documentation

Create side-by-side SQL/MongoDB query documentation for teams transitioning between database technologies.

Frequently Asked Questions

Which SQL operations are supported?

SELECT (find/aggregate), INSERT (insertOne/insertMany), UPDATE (updateOne/updateMany), DELETE (deleteOne/deleteMany), and common JOINs ($lookup).

How are JOINs converted?

SQL JOINs are converted to MongoDB $lookup aggregation stages. Complex multi-table JOINs may require nested $lookup or restructuring for document model.

Is the conversion always 1:1?

Simple queries convert directly. Complex SQL (subqueries, CTEs, window functions) may require restructuring for MongoDB's document model.