Create realistic database seeding scripts and fixtures for PostgreSQL, MySQL, SQLite, and MongoDB. AI-powered generation with proper foreign key relationships and bulk inserts.
-- Users table seeding
INSERT INTO users (id, name, email, created_at)
VALUES
(1, 'Sarah Johnson', 'sarah.johnson@company.com', '2024-01-15 10:30:00'),
(2, 'Michael Chen', 'm.chen@startup.io', '2024-01-16 14:22:00'),
(3, 'Emma Rodriguez', 'emma.r@techcorp.com', '2024-01-17 09:15:00');
-- Orders table with foreign key relationships
INSERT INTO orders (id, user_id, product_name, amount, status)
VALUES
(101, 1, 'Wireless Headphones', 129.99, 'completed'),
(102, 2, 'Laptop Stand', 45.00, 'processing'),
(103, 1, 'Mechanical Keyboard', 85.50, 'pending');Built specifically for developers who need realistic database fixtures and seeding scripts with proper relationships and data integrity.
Generate seeding scripts for PostgreSQL, MySQL, SQLite, and MongoDB. Optimized syntax for each database system.
Automatically handle complex relationships between tables with proper foreign key constraints and referential integrity.
Generate efficient bulk INSERT statements and batch operations for maximum performance with large datasets.
Define your own table structures or use our AI to infer schemas from your existing database design.
Generate believable names, addresses, emails, phone numbers, and business data that looks authentic.
Get optimized, production-ready seeding scripts with proper error handling and transaction management.
From development environments to testing pipelines, our database seeding generator covers all your needs.
Quickly populate your development database with realistic data to start building features immediately.
Generate consistent test fixtures for integration tests, CI/CD pipelines, and QA environments.
Create large datasets to test database performance, query optimization, and system scalability.
-- Companies table
INSERT INTO companies (id, name, industry, founded_at)
VALUES
(1, 'TechCorp Solutions', 'Technology', '2018-03-15'),
(2, 'InnovateLab Inc', 'Software', '2020-07-22');
-- Employees with company relationships
INSERT INTO employees (id, company_id, name, position, salary)
VALUES
(1, 1, 'Alice Williams', 'Senior Developer', 95000),
(2, 1, 'Bob Martinez', 'Product Manager', 88000),
(3, 2, 'Carol Zhang', 'UX Designer', 72000);
-- Projects with multiple relationships
INSERT INTO projects (id, company_id, lead_id, name, status)
VALUES
(1, 1, 1, 'Mobile App Redesign', 'active'),
(2, 2, 3, 'AI Dashboard', 'planning');Join thousands of developers on our waitlist for exclusive early access to AI-powered database seeding. Be the first to experience effortless test data generation.
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