Databases
Online MongoDB Query Tool
The online MongoDB query tool is a safe playground for document-query basics: find filters, comparison operators, sorting and JSON-shaped results. It uses sample order documents instead of a live database, making it useful for learning syntax and explaining how filters match documents before you connect to MongoDB Atlas or a local database.
Online compiler
MongoDB workspace
MongoDB editor
File: anku-mongodb-example.js
Standard input
Output
SuccessReady.
Returns paid sample orders with total values greater than or equal to 100.
How to use this MongoDB query tool
- Open the MongoDB starter code or choose another example from the dropdown.
- Add stdin only if the example reads from standard input.
- Review stdout, errors, compile output or table results in the output panel.
- Copy the code or download it as a .js file when the result looks right.
MongoDB features
- Safe sample documents
- find filter examples
- Sort examples
- JSON output
- Copy and download query files
- Related SQL tool links
Common use cases
- Learn document filters
- Explain comparison operators
- Practice JSON-shaped queries
- Compare MongoDB with SQL
MongoDB example code
Filter by status and total.
// Safe sample collection: orders
db.orders.find({
status: "paid",
total: { $gte: 100 }
}).sort({ total: -1 })Sample output
Returns paid sample orders with total values greater than or equal to 100.
Common MongoDB errors
- Invalid JSON-like filter: Use quoted strings and balanced braces inside find().
- Unsupported command: This runner supports find-style examples on the sample orders collection.
- No matching documents: Try status values paid, pending or refunded, or lower the total threshold.
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Frequently Asked Questions
Does this connect to MongoDB Atlas?
No. It uses safe sample documents so public visitors never connect to a production database.
Which MongoDB commands are supported?
This first version focuses on find filters and simple sort examples for learning query basics.
Why is the output JSON?
MongoDB stores document-shaped data, so JSON output makes nested fields and matched documents easy to inspect.
Can I modify documents?
No. Insert, update and delete operations are intentionally disabled in the public learning runner.
How is MongoDB different from SQL tools?
MongoDB queries documents in collections, while SQL tools query rows in related tables.