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Dev tools · January 6, 2026

DT

DDL to Data – Generate realistic test data from SQL schemas

I built DDL to Data after repeatedly pushing back on "just use production data and mask it" requests. Teams needed populated databases for testing, but pulling prod meant security reviews, PII scrubbing, and DevOps tickets. Hand-written seed scripts were the alternative slow, fragile, and out of sync the moment schemas changed. Paste your CREATE TABLE statements, get realistic test data back. It parses your schema, preserves foreign key relationships, and generates data that looks real, emails look like emails, timestamps are reasonable, uniqueness constraints are honored. No setup, no…

Alternativestop 12% of January 2026

In plain words

DDL to Data generates realistic test data directly from SQL schemas without requiring production data or manual setup. Users paste CREATE TABLE statements and receive populated databases with valid foreign key relationships, realistic formatting for emails and timestamps, and honored uniqueness constraints. It works with PostgreSQL and MySQL, automatically parsing schemas and updating when they change, eliminating the need for hand-written seed scripts or complex security reviews. The tool is designed for development teams and QA engineers who need functional test databases quickly.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

I built DDL to Data after repeatedly pushing back on "just use production data and mask it" requests. Teams needed populated databases for testing, but pulling prod meant security reviews, PII scrubbing, and DevOps tickets. Hand-written seed scripts were the alternative slow, fragile, and out of sync the moment schemas changed. Paste your CREATE TABLE statements, get realistic test data back. It parses your schema, preserves foreign key relationships, and generates data that looks real, emails look like emails, timestamps are reasonable, uniqueness constraints are honored. No setup, no config. Works with PostgreSQL and MySQL. https://ddltodata.com Would love feedback from anyone who deals with test data or staging environments. What's missing?

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