Generate Dummy Data for PostgreSQL
Filling a Postgres database by hand stops working the moment there is more than one table: insert order matters, foreign keys have to point at rows that exist, and unique constraints reject the second duplicate. Misata reads your schema, works out the dependency order itself, and writes rows that satisfy every constraint the database will check, plus the aggregate numbers you want the data to show.
Sample datasets you can generate
your own schemaIntrospect an existing database and get data shaped to the tables you already haveparent tablesWritten first, so every child row has a real parent to referencejoin tablesComposite and unique keys respected, no duplicate-key rejection on insertfact tablesVolumes and totals you declare, so queries against the seeded database return known answersFrom a sentence to PostgreSQL in four steps
- 1Point Misata at the database or hand it your DDL
- 2Declare row counts and any totals the data has to satisfy
- 3Generate, then export SQL or write straight to the database
- 4Every table is populated in dependency order with all constraints satisfied
Why not just a random CSV
- Dependency order is worked out for you, so inserts never fail on a missing parent
- Unique and composite keys are respected, not sampled with replacement and rejected
- Aggregates hit declared targets, so you can test a query whose right answer you know
- Same seed, same database, so a failing test reproduces exactly
Frequently asked
Is this sample data free to use in PostgreSQL?
Yes. The data is generated from scratch, contains no real people or companies, and is yours to use in demos, prototypes, and training with no license or privacy concerns. Export it as CSV or Excel and load it straight into PostgreSQL.
Can I control the numbers so my PostgreSQL dashboard tells a specific story?
Yes, and this is the point. Declare the shape you want, a revenue curve that climbs to a December peak, a churn rate, exact category shares, and the rows come out matching it exactly. Your charts show the trend you designed instead of random noise.
Will the tables actually join in PostgreSQL?
Yes. Every foreign key resolves across tables, so orders point at real customers and line items point at real orders. Your relationships and blends in PostgreSQL work on the first try, with no orphan keys breaking a JOIN.
How much data can I generate?
Enough for a realistic dashboard: thousands to millions of rows, generated in seconds, with the same seed producing the exact same data every time so your demo is reproducible.
Sample data for other tools