Sample Data for SQL Practice
Most SQL practice datasets are a single flat table, which is exactly the case where SQL is least interesting. You cannot practise a JOIN without two tables that relate, and you cannot check whether your GROUP BY is right if you have no idea what the answer should be. Misata generates a small connected schema where the keys resolve and the totals are known in advance, so you can verify your own query instead of guessing.
Sample datasets you can generate
customersNames, cities, and signup dates, the left side of most practice joinsordersOrders belonging to real customers, with dates for window functions and running totalsorder_itemsLine items under real orders, a genuine many-to-one for multi-table joinsproductsProducts and categories with prices, so GROUP BY by category has a real answerFrom a sentence to SQL practice in four steps
- 1Pick a size, from a few hundred rows to a few million
- 2Declare the totals you want, or use the defaults and read the answer key
- 3Export CSV, or SQL for SQLite, Postgres, or MySQL
- 4Load it and start querying, with the correct aggregate already known
Why not just a random CSV
- Real relationships, so INNER JOIN and LEFT JOIN behave differently and teach you something
- Known totals, so you can check whether your query is right without an answer sheet
- Regenerate at any size, so the same exercises work at 500 rows or 5 million
- No sign-up and no licence terms, the data is generated and yours
Frequently asked
Is this sample data free to use in SQL practice?
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 SQL practice.
Can I control the numbers so my SQL practice 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 SQL practice?
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 SQL practice 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