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MongoDB → SQL Converter

Convert MongoDB queries (find, insert, update, delete) to SQL. Supports $gt, $lt, $in, $regex, .sort(), .limit(), and projections. Free, and it runs entirely in your browser — nothing you enter is uploaded.

How to use the MongoDB → SQL Converter

1. Paste your MongoDB query: find, findOne, insertOne, insertMany, updateOne, updateMany, deleteOne, or deleteMany.

2. Click Convert — the equivalent SQL statement is generated.

3. Review the output — complex aggregation pipelines are not supported.

What is it?

MongoDB uses a document-oriented query language very different from SQL. This tool translates the most common MongoDB operations to their SQL equivalents: find() → SELECT, insertOne/Many → INSERT, updateOne/Many → UPDATE, deleteOne/Many → DELETE.

Supported MongoDB operators: $gt, $gte, $lt, $lte, $ne, $in, $nin, $regex. Modifiers: .sort(), .limit(), .skip(). Projections (field inclusion) are converted to SELECT column lists.

Example

MongoDB Query
db.users.find({age: {$gt: 25}, active: true}, {name: 1, email: 1}).sort({name: 1}).limit(10)
↓
SQL
SELECT name, email
FROM users
WHERE age > 25 AND active = 'true'
ORDER BY name ASC
LIMIT 10;

Benefits

Generate INSERT and CREATE TABLE statements instantly

Convert JSON, CSV, or a field list into ready-to-run SQL in seconds — no manual quoting, no counting columns, no copy-paste errors from spreadsheet data.

Build SELECT queries without memorising syntax

The visual query builder constructs WHERE conditions, ORDER BY, LIMIT, and DISTINCT clauses interactively — useful for anyone who writes SQL occasionally rather than daily.

Migrate between MongoDB and relational databases

Convert MongoDB find, insert, update, and delete operations directly to SQL equivalents — speed up data migration planning or schema exploration.

All your data stays in the browser

No SQL query, schema definition, or database content is ever uploaded to a server. Everything runs entirely client-side, making these tools safe to use with sensitive data.

Frequently asked questions

Does this support aggregation pipelines ($match, $group etc.)?

No — aggregation pipelines are complex and have no direct SQL equivalent. This tool handles the most common CRUD operations only.

What format should I use for the query?

Standard MongoDB shell format: db.collection.find({field: value}). Both single and double quotes work. JavaScript-style keys without quotes are also handled.