How do I create realistic test data for my app?
Describe your app in a sentence, for example a SaaS with 200 organisations, users, roles and invoices, and Misata Studio builds the tables, fills them with believable values, keeps every foreign key matching and every total adding up, and exports it as SQL for your database, Prisma models, dbt seeds or Parquet. No production data is copied, so nothing can leak.
Best for: Developers, QA engineers and anyone with an empty or unrealistic staging database. Updated 2026-09-21.
A multi-tenant SaaS with 200 organisations, users, roles, invoices and audit logs, for a staging database.
- Every foreign key resolves
- Totals add up across tables
- Names, emails and dates that look real
- SQL for Postgres, MySQL, SQL Server, Oracle, BigQuery or Snowflake
Why it holds up
Relationships that hold
Orders belong to customers, items belong to orders, and payments equal what they settle. Keys and totals are checked, not hoped for.
Realism for the business
Prices, quantities and categories are set for this kind of business, and a review pass flags what an expert would find implausible.
Repeatable
The same recipe rebuilds the same data, so a test that failed yesterday can fail the same way today.
Questions
- Do I need production data to create test data?
- No. Misata Studio builds test data from your description or schema, so no production records are copied or exposed.
- Can I import my existing schema?
- Yes. Paste SQL DDL, import a structure, or draw the tables on the canvas. A schema you give is followed exactly, and any difference is reported.
- Which formats can I export?
- CSV, Excel, Parquet, JSON, SQL for six databases, SQLite, DuckDB, dbt seeds, Prisma, DBML, TypeScript, JSON Schema and more.