SQL ↔ MongoDB Query Translator

A SQL to MongoDB translator converts SQL queries into equivalent MongoDB query syntax, and vice versa. SQL uses a declarative language with keywords like SELECT, WHERE, JOIN, and GROUP BY, while MongoDB uses a document-based query API with methods like find(), aggregate(), insertOne(), and operators like $gt, $in, and $regex.

If you're migrating from a relational database to MongoDB (or working with both), translating queries between these two paradigms can be tedious and error-prone. The syntax is completely different: SQL's WHERE age > 21 AND status = 'active' becomes MongoDB's { age: { $gt: 21 }, status: "active" }. JOINs become $lookup aggregation stages, GROUP BY becomes $group, and so on.

This bidirectional translator handles SELECT, INSERT, UPDATE, DELETE, COUNT, GROUP BY, HAVING, JOINs (INNER, LEFT, RIGHT), and complex WHERE conditions with AND/OR/IN/LIKE/BETWEEN operators. It also converts MongoDB queries back to SQL. All processing happens in your browser — your queries are never sent to any server.

1. Choose your direction — Select "SQL → MongoDB" to convert SQL queries, or "MongoDB → SQL" to convert MongoDB queries back to SQL.
2. Enter or load a query — Type your query or click one of the example buttons (Simple SELECT, JOIN, GROUP BY, INSERT, UPDATE, DELETE, etc.) to load a sample query.
3. Click Convert — The translator parses your query and generates the equivalent in the target syntax, with syntax highlighting for easy reading.
4. Copy the result — Click "Copy" to copy the converted query to your clipboard, ready to use in your MongoDB shell, application code, or SQL client.

• Bidirectional conversion — Convert SQL to MongoDB and MongoDB back to SQL, supporting both directions of migration and learning.
• Full CRUD support — Translates SELECT → find(), INSERT → insertOne()/insertMany(), UPDATE → updateMany(), and DELETE → deleteMany() operations.
• JOIN to $lookup — Converts SQL JOINs (INNER, LEFT, RIGHT) into MongoDB aggregation pipeline $lookup stages with appropriate $unwind handling.
• Aggregation support — Translates GROUP BY with COUNT, SUM, AVG, MIN, MAX into MongoDB $group stages, including HAVING clauses as $match after grouping.
• Complex WHERE conditions — Handles AND, OR, IN, NOT IN, LIKE (to $regex), BETWEEN, IS NULL, comparison operators, and nested conditions.
• Syntax highlighting — Output is highlighted with SQL keywords in blue and MongoDB operators in yellow for quick readability.
• 100% client-side — Your database queries never leave your browser. No server calls, no data logging.

• Database migration — Convert existing SQL queries to MongoDB syntax when migrating from PostgreSQL, MySQL, or SQL Server to MongoDB.
• Learning MongoDB query syntax — If you know SQL, use the translator to understand how familiar SQL patterns map to MongoDB's document query API.
• Quick query prototyping — Write queries in the syntax you're most comfortable with, then convert to the target database format.
• Team collaboration — Share queries between team members who may be more familiar with SQL or MongoDB, using the translator as a common reference.
• Documentation — Generate both SQL and MongoDB versions of queries for technical documentation that serves developers working with either database.