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?
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?