Synthetic test data, without touching production

Seedfast is a CLI tool that generates realistic, relational test data from your schema alone. Point it at a schema, run a single command, and get coherent data that respects your foreign keys, constraints, triggers, and check rules, without ever touching production.

Cloning or anonymizing production data is harder and more expensive than it looks. The tools that handle relational integrity properly are mostly enterprise-grade and contact-sales: slow to procure, slow to integrate, and a real cost line in the budget. And even with the right tooling in place, real customer data still leaves the production boundary; you've reduced the risk, not removed it. Seedfast skips the whole loop. Nothing real ever leaves production, so there's nothing to anonymize and no vendor pipeline to maintain.

Faker generates values for individual fields. It doesn't understand how your tables connect. You're left writing the relational logic yourself: making sure references point to rows that actually exist, totals add up across related tables, values respect the constraints you've defined, and everything inserts in the right order. Every schema change means rewriting those scripts. Seedfast reads your schema and produces data that's coherent across tables, relationships, and constraints out of the box.

No. Seedfast works from your schema alone: DDL files, migrations, or a connection to a non-production database is enough. Production data never enters the workflow.

Schemas are generally treated as non-sensitive metadata under the major regulatory frameworks (GDPR, HIPAA, PCI-DSS, SOC 2), which target the data inside the schema, not the structure itself. Seedfast is built around your schema, not your data, which is why it's a clean fit for regulated industries. If your internal security policy classifies schemas as proprietary, get in touch and we'll walk through the specifics.

PostgreSQL. We're PostgreSQL-first because it has the richest constraint and relationship system, exactly where realistic seeding gets hardest. MySQL, Oracle, and SQLite support is coming soon.

Yes. Foreign keys, composite keys, multi-level dependencies, check constraints, unique constraints, enums, JSON columns, and triggers are all handled. Seedfast works out the right insertion order, generates values that satisfy the constraints, and writes the data in a sequence your database will accept.

Realistic enough to pass a code review and run your application against. Names look like names, emails look like emails, monetary values fall within sensible ranges, and relationships make sense, so an order belongs to a customer who exists, line items sum correctly, timestamps line up. Seedfast also infers the shape your data should take in production: long-tailed totals, skewed enums, business-hour clusters, and table sizes proportioned like the real database. Distributions feel like the live system, not a uniform random fill. When the defaults aren't quite right, you can configure row counts per table and shape how specific columns get filled.

Pricing is based on the size of the schema you're seeding, measured by table count. Plans scale from small projects to large schemas with hundreds of tables, and you can change plans at any time as your project grows.