Formatters & Code
NoSQL → SQL Migratiehulp
MongoDB document shape → relational schema sketch.
Redactionele opmerking
Understanding · Documents into rows — the migration nobody wants twice.
Dit uitgebreide hoofdstuk is momenteel alleen in het Engels beschikbaar. De conversietool hierboven werkt in jouw taal; de lange uitleg is nog niet vertaald.
Veelgestelde vragen
Quick answers.
›How does it determine SQL data types?
The tool inspects the values in your JSON document. Strings are mapped to `VARCHAR`, integers to `INT` or `BIGINT`, and floating point numbers to `DECIMAL` or `FLOAT`.
›What happens to nested objects and arrays?
Nested objects are typically flattened or suggested as separate tables with foreign keys. For modern SQL dialects like PostgreSQL, you can also choose to treat them as `JSONB` columns.
›Does it support complex BSON types?
Yes, common BSON types like `ObjectId`, `ISODate`, and `NumberDecimal` are recognised and converted to their relational equivalents like `UUID`, `TIMESTAMP`, and `NUMERIC`.
›Is my data sent to a server for processing?
No. All mapping and schema generation happens locally within your browser session. Your document structure and data never leave your device.
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- SQL Query ExplainerFormateer elke SQL en leg uit wat elke clausule doet.
- SQL Index AanbevelingOntdek ontbrekende indexes uit WHERE / JOIN / ORDER clausules.
- PostgreSQL → MySQL ConverterVertaal Postgres DDL naar MySQL-compatibele SQL.
- JSON naar XML ConverterConverteer JSON naar schone, goed gevormde XML.
- JSON Formatter & ValidatorVerfraai, comprimeer en valideer JSON — gratis, geen aanmelding.