SQL Data Generator

Developer

Generate SQL INSERT statements with fake data for database testing. Quickly populate tables with realistic sample records.

schema.sql548 chars
INSERT INTO users (id, name, email) VALUES
(1, 'William Johnson', 'william.johnson@yahoo.com'),
(2, 'Patricia Davis', 'patricia.davis@yahoo.com'),
(3, 'Michael Lopez', 'michael.lopez@example.com'),
(4, 'Elizabeth Brown', 'elizabeth.brown@yahoo.com'),
(5, 'Joseph Davis', 'joseph.davis@gmail.com'),
(6, 'Jessica Davis', 'jessica.davis@icloud.com'),
(7, 'Robert Hernandez', 'robert.hernandez@outlook.com'),
(8, 'Barbara Smith', 'barbara.smith@test.io'),
(9, 'Susan Davis', 'susan.davis@yahoo.com'),
(10, 'Jennifer Garcia', 'jennifer.garcia@test.io');

What is This Tool?

A SQL data generator creates SQL CREATE TABLE statements and INSERT queries with realistic test data. Define table schemas with column types, constraints, and relationships, then generate ready-to-execute SQL for populating development and test databases.

Testing database applications requires realistic data at scale. This tool generates properly typed SQL data — correct date formats, realistic names/emails, valid foreign key references, and NULL distributions — that exercises real query patterns and edge cases.

Common Use Cases

Database Development

Generate schema DDL and seed data for new database projects in PostgreSQL, MySQL, SQLite, and SQL Server.

Performance Testing

Create large volumes of test data for benchmarking query performance, index optimization, and capacity planning.

Migration Testing

Generate source data matching production schemas for testing migration scripts and ETL processes.

Demo Data

Populate demo environments with realistic data for product demonstrations and sales presentations.

Frequently Asked Questions

Which SQL dialects are supported?

PostgreSQL, MySQL, SQLite, SQL Server, and Oracle syntax variants. Auto-type mapping handles dialect differences (e.g., TEXT vs VARCHAR, SERIAL vs AUTO_INCREMENT).

Are foreign key relationships maintained?

Yes. The generator respects foreign key constraints by inserting parent records before child records with valid reference values.

Can I generate large datasets?

Yes. Generate thousands of INSERT statements for load testing. For very large datasets, consider the bulk CSV generator and database import tools.