JSON → CREATE TABLE
Generate CREATE TABLE statements from JSON payloads without pasting sample records into a web form. DataEngUtils infers column names and types from representative objects and outputs dialect-specific DDL you can paste into migrations or a scratch worksheet. Analytics engineers reach for it when product teams ship event samples, when APIs change fields mid-sprint, or when you need a quick staging table before writing a dbt source block. Because the tool runs in your browser, customer JSON is never exposed to a third-party server.
Open it in the app
JSON → CREATE TABLE runs in the DataEngUtils browser app on a Rust engine (Apache Arrow) compiled to WebAssembly — part of the Pro workbench, entirely client-side, and nothing is uploaded.
How it works
1. Paste sample JSON
Use an array of objects or a single document that represents your production shape.
2. Pick a warehouse dialect
Choose Postgres, BigQuery, Snowflake or another supported dialect for the DDL output.
3. Copy the DDL
Paste the generated statement into migrations, docs or a scratch worksheet.
Why not use an online tool?
Online converters tools require uploading your pipeline inputs to a third-party server. For production work, that is a security and compliance risk. DataEngUtils runs a client-side engine in your browser — same convenience, none of the exposure.