Generate Dummy Data for SQL Server
Populating a SQL Server database for testing usually means a script that works until the schema grows a relationship, then breaks on a foreign key or a unique index. Misata takes the schema as the specification: it generates rows for every table, in an order the database will accept, with referential integrity holding across the whole set and the aggregates you declare landing exactly.
Sample datasets you can generate
your own schemaGenerate against the tables you already have, no rewriting your modeldimension tablesPopulated before the facts that reference them, so inserts never failfact tablesRow volumes and measures you declare, ready for reporting and performance testsdate rangesTimestamps that fall in a period you choose, so date filters return sensible countsFrom a sentence to SQL Server in four steps
- 1Give Misata the schema, by introspection or as DDL
- 2Declare volumes and any totals the seeded data has to satisfy
- 3Export as SQL INSERT statements or CSV for BULK INSERT
- 4Run it, every constraint the server checks is already satisfied
Why not just a random CSV
- Foreign keys and unique indexes hold, so the load completes instead of rolling back
- Volume on demand, so index and query plans get tested against realistic table sizes
- Declared totals give you a known answer to test reports against
- Deterministic by seed, so the same dataset rebuilds identically in CI
Frequently asked
Is this sample data free to use in SQL Server?
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 Server.
Can I control the numbers so my SQL Server 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 Server?
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 Server 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