SQL to NoSQL Converter
Translate SELECT/INSERT/UPDATE/DELETE into MongoDB or DynamoDB syntax
Runs 100% in your browser — nothing is ever uploaded.
What is SQL → NoSQL?
Moving from a relational database to MongoDB or DynamoDB? Paste a SQL statement — SELECT with WHERE, ORDER BY and LIMIT, or INSERT, UPDATE, DELETE — and get the equivalent NoSQL operation: a MongoDB find()/aggregate() call or a DynamoDB command. WHERE conditions become query operators ($gt, $in, $regex …) automatically. Runs fully in your browser.
How to use SQL → NoSQL
- Paste a SQL statement (SELECT, INSERT, UPDATE or DELETE).
- Choose the target: MongoDB shell syntax or DynamoDB.
- Click Convert — WHERE clauses map to query operators automatically.
- Copy the generated NoSQL query into your application.
Frequently asked questions
Which SQL features are supported?
SELECT with column projection, WHERE (=, !=, <, >, <=, >=, LIKE, IN, BETWEEN, AND/OR), ORDER BY, LIMIT and OFFSET, plus single-row INSERT, UPDATE...SET and DELETE. JOINs are flagged with guidance, since document databases model relations differently.
How is LIKE translated to MongoDB?
LIKE 'abc%' becomes a $regex anchored with ^, '%abc' becomes an anchored $ suffix regex, and '%abc%' becomes an unanchored $regex — matching MongoDB's idiomatic pattern search.
Is my query sent to a server?
No. Parsing and conversion are plain JavaScript in your browser. Table names, column names and values in your queries stay on your device.
Is my data uploaded anywhere?
No. Every DataForge tool runs entirely in your browser. Text and files are processed locally and never sent over the network.
Are the conversions accurate?
Yes — we use the same battle-tested libraries developers use in production (native Web Crypto for hashes, js-yaml for YAML), so output matches what your toolchain produces.
Is there a size limit?
No hard limit. Processing happens on your machine, so even large documents convert in milliseconds.