How do I build a MongoDB find query with multiple conditions?▼
Use the Find query type and add multiple filter conditions. Each condition specifies a field name, an operator like $eq, $gt, $lt, $in, or $regex, and a value. Multiple conditions are combined with an implicit AND. The tool generates the proper nested JSON filter object automatically.
What is a MongoDB aggregation pipeline?▼
A MongoDB aggregation pipeline is a sequence of stages that process documents. Common stages include $match (filter), $group (aggregate values), $sort, $project (reshape), $lookup (join), and $unwind (flatten arrays). Each stage transforms the data and passes results to the next stage.
How do I use $lookup to join collections in MongoDB?▼
$lookup performs a left outer join between two collections. It requires four fields: 'from' (the collection to join), 'localField' (field from the input documents), 'foreignField' (field from the 'from' collection), and 'as' (the output array field name). Use the Aggregate query type and add a $lookup stage in this tool.
Is my data safe when using this MongoDB query builder?▼
Yes. This tool runs entirely in your browser using client-side JavaScript. No data is sent to any server. Your collection names, field names, and query parameters never leave your computer.
Can I generate MongoDB driver code for Node.js and Python?▼
Yes. The tool generates output in three formats: MongoDB Shell syntax (mongosh), Node.js code using the official mongodb driver, and Python code using pymongo. Switch between formats using the output tabs and copy the code directly into your project.