Seed Relational Databases Safely & Predictably
A configuration-driven database seeding engine. Generate realistic mock data and seed Postgres, MySQL, or SQLite locally with complete referential integrity.
Streamlined Database Mocking
Everything you need to generate realistic datasets and seed your relational databases safely.
Referential Integrity
Avoid foreign-key reference errors. The engine automatically detects relationships between your tables and seeds them in the correct sequence (like creating users before orders), ensuring database integrity with zero manual scripting.
Realistic Mock Data Store
Say goodbye to gibberish. Generate realistic mock names, formatted emails, structured addresses, and mock transactions that look like actual user activity, rather than random characters.
Developer & AI Native
Run standard CLI commands locally, or serve as a Model Context Protocol (MCP) server. Allow LLM co-pilots and AI coding agents to introspect and seed your database autonomously.
Safe Transactions
Never leave your database in a half-seeded, broken state. Seeding sessions are executed inside safe database transactions. If any batch fails, it cleanly rolls back everything automatically.
Multiple Databases & Dialects
Directly supports popular relational databases including PostgreSQL, MySQL, and SQLite, matching their specific syntax and SQL dialects automatically.Coming Soon: ORM support for Drizzle, Prisma, Django, and more.
Automatic Seed Locks
Automatically lock your generation seeds. Track your mock data configurations in Git using auto-generated seed-lock files to guarantee identical datasets are consistently reproduced across developer machines and CI/CD pipelines.
Secure, Offline-First Architecture
Your database schemas and mock records remain secure. DataSynthify runs locally on your computer or secure CI/CD pipeline, ensuring your private database configurations are protected.
Local Workspace
Your schema definitions, relationships, and seeding rules are stored in a simple configuration file right in your local repository.
Offline Engine
The engine processes the schema and synthesizes mock data entirely in memory, generating realistic mock records using local resources.
Direct Connection
The CLI connects directly to your database (PostgreSQL, MySQL, SQLite) to insert the batch transactions locally.
Zero-Server Trust
Because execution happens within your local environment, your database structure and seeded records are never uploaded to external servers.
Be the First to Try DataSynthify
Experience predictable, configuration-driven database seeding with complete referential integrity. Enter your email to join our private beta.