Don’t write filters. Design them.
QueryCraft turns database logic into an interactive visual workflow: build nested rules, preview multiple query formats, validate structure, and execute against datasets.
Visual Query Canvas
AND group · users dataset
{
"$and": [
{ "age": { "$gt": 18 } },
{ "country": { "$eq": "Nigeria" } },
{ "status": { "$eq": "active" } }
]
}Features
A query system that feels like designing logic.
QueryCraft combines a visual editor, schema-aware controls, multiple generated outputs, and manual execution into one workflow — so building complex filters feels structured instead of fragile.
QueryCraft Engine
Visual logic compiled into real query formats
Visual Rules
{
"$and": [
{ "age": { "$gt": 18 } },
{ "country": { "$eq": "Nigeria" } },
{ "status": { "$eq": "active" } }
]
}Recursive Builder
Nest AND/OR groups without fighting raw syntax.
Drag & Drop
Reorder rules visually like arranging blocks.
Live Preview
Generate SQL, MySQL, MongoDB, and GraphQL instantly.
Query History
Restore executed queries, save presets, and reuse logic.
Execution Engine
Run queries against datasets and inspect matching rows.
Schema Driven
Fields, inputs, and operators adapt to your dataset.
Workflow
A query pipeline you can actually see.
QueryCraft turns filtering from a hidden string into a visible system: choose the data, design the logic, generate syntax, then execute the result.
Pick your data shape
Start from Users, Orders, or Events. Fields, input types, and valid operators adapt automatically.
Design the logic visually
Add conditions, nest groups, switch AND/OR logic, and reorder rules with drag-and-drop.
Generate query syntax
Preview SQL, MySQL, MongoDB, and GraphQL outputs from the same visual query tree.
Execute and inspect
Run the query manually, inspect matching rows, and restore executed queries from history.
Every query has a lifecycle.
Instead of writing one fragile query string, QueryCraft keeps the entire lifecycle editable: schema, rules, generated output, execution result, presets, and history.