JSON to CREATE TABLE
Generate CREATE TABLE statements from JSON payloads for Postgres, BigQuery, and Snowflake without pasting sample records into a web form. DataEngUtils infers column names and types from representative objects, handles nested structures with sensible flattening options, and outputs dialect-specific DDL you can paste into migrations or ad-hoc sandbox setup. Analytics engineers use 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 — all without exposing customer JSON to a third-party server.
Try it free
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, or Snowflake syntax for the CREATE TABLE output.
3. Copy 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 locally — same convenience, none of the exposure.