Relational SQL DDL & Mock Data JSON Generator Studio
Design relational database tables, primary keys, foreign key constraints, and generate realistic synthetic mock datasets in SQL INSERT and JSON array formats. Export schemas for PostgreSQL, MySQL, and SQLite.Documentation & FAQs ↓
Column Schema Designer (6 Fields)
CREATE TABLE IF NOT EXISTS "users" (
"id" UUID DEFAULT gen_random_uuid(),
"first_name" TEXT,
"last_name" TEXT,
"email" TEXT,
"status" TEXT,
"created_at" TIMESTAMPTZ DEFAULT NOW()
);
INSERT INTO "users" ("id", "first_name", "last_name", "email", "status", "created_at")
VALUES
('a3e8-4b2e-4f1a-9c7d-174876e800', 'Emma', 'Johnson', 'emma.johnson@example.com', 'pending', '2026-10-07T22:03:35.389Z'),
('a3e9-4b2e-4f1a-9c7d-174876e801', 'Liam', 'Jones', 'liam.jones@example.com', 'inactive', '2026-10-04T22:03:35.389Z'),
('a3ea-4b2e-4f1a-9c7d-174876e802', 'Olivia', 'Davis', 'olivia.davis@example.com', 'suspended', '2026-10-01T22:03:35.389Z'),
('a3eb-4b2e-4f1a-9c7d-174876e803', 'Noah', 'Smith', 'noah.smith@example.com', 'active', '2026-09-28T22:03:35.389Z'),
('a3ec-4b2e-4f1a-9c7d-174876e804', 'Ava', 'Brown', 'ava.brown@example.com', 'pending', '2026-09-25T22:03:35.389Z'),
('a3ed-4b2e-4f1a-9c7d-174876e805', 'Lucas', 'Miller', 'lucas.miller@example.com', 'inactive', '2026-09-22T22:03:35.389Z'),
('a3ee-4b2e-4f1a-9c7d-174876e806', 'Mia', 'Taylor', 'mia.taylor@example.com', 'suspended', '2026-09-19T22:03:35.389Z'),
('a3ef-4b2e-4f1a-9c7d-174876e807', 'Ethan', 'Williams', 'ethan.williams@example.com', 'active', '2026-09-16T22:03:35.389Z'),
('a3f0-4b2e-4f1a-9c7d-174876e808', 'Sophia', 'Garcia', 'sophia.garcia@example.com', 'pending', '2026-09-13T22:03:35.389Z'),
('a3f1-4b2e-4f1a-9c7d-174876e809', 'James', 'Wilson', 'james.wilson@example.com', 'inactive', '2026-09-10T22:03:35.389Z');Step-by-Step Instructions
4 Steps to CompletionAdd a table (e.g. users) and configure columns (id, name, email, role, created_at) with synthetic data generators.
Add a child table (e.g. orders) and establish a foreign key constraint linking orders.user_id to users.id.
Select your target database dialect (PostgreSQL, MySQL, SQLite) and desired record count (10 to 500 rows).
Click 'Generate' to inspect and copy SQL DDL table definitions and correlated mock INSERT statements.
Practical Use Cases & Real-World Scenarios
Multi-Dialect DDL Export
Generates syntactically correct CREATE TABLE schemas for PostgreSQL, MySQL/MariaDB, SQLite, and SQL Server.
Relational Foreign Key Integrity
Simulates 1-to-many parent-child relationships, automatically populating child foreign key fields with valid parent IDs.
Realistic Synthetic Data Types
Generates realistic names, emails, UUIDs, ISO timestamps, currency amounts, street addresses, and phone numbers.
Dual SQL & JSON Output
Exports datasets as batched multi-row INSERT INTO statements or structured JSON arrays ready for API mock servers.
Frequently Asked Questions
How does relational foreign key integrity work during mock data generation?↓
What SQL dialects are supported?↓
Is any data sent to external servers or AI APIs?↓
Can I generate UUIDs instead of auto-incrementing integer IDs?↓
What is the maximum number of mock rows I can generate?↓
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