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…
DDL to Data – Generate realistic test data from SQL schemas launched on January 6, 2026 with 55 votes, #527 of 14,585 launches that month and more than 95% of that year's launches.
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
Generate realistic test data from your SQL schema. No PII, no security review, no DevOps tickets. Free tier available.
Transform your schema with AI based on a custom prompt — preserving types, constraints, and relationships while creating contextually coherent, realistic data. Write a prompt describing the user data you want (14 columns: name, email, company, job title, etc.) Populate dev and staging environments with realistic data. Export as SQL INSERT statements ready to run. Generate test fixtures on-demand via API. No more maintaining stale JSON files or copying production data. Create compelling demo data for sales teams. Story Mode ensures the data tells a coherentfrom ddltodata.com
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…
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