Dev
Mock Database Schema Generator
Designing a database table from scratch means deciding on column types, constraints, and dialect-specific syntax all at once. A mock database schema generator produces a runnable CREATE TABLE statement for five common schemas across three SQL dialects. Three inputs control the output. Table Name overrides the default identifier; index names update consistently. SQL Dialect switches between PostgreSQL (SERIAL, BOOLEAN, gen_random_uuid()), MySQL (AUTO_INCREMENT, TINYINT(1), InnoDB), and SQLite (INTEGER PRIMARY KEY). Table Preset selects the schema: Users includes email UNIQUE and audit timestamps; Products includes SKU UNIQUE and NUMERIC(10,2) price; Orders includes order_number UNIQUE with subtotal and tax; Blog Posts includes slug UNIQUE and status; Audit Log includes action, entity_type, and JSONB old_values/new_values. Treat the output as a starting template to refine before use.
How to use
- Choose your options above
- Click Generate
- Copy your result
Detailed instructions
- Type your desired table name into the Table Name field, or leave it as the default.
- Select your target SQL dialect — PostgreSQL, MySQL, or SQLite — from the dialect dropdown.
- Choose the table preset that best matches your use case from the Table Preset dropdown.
- Click Generate and review the CREATE TABLE statement, including columns, constraints, and indexes.
- Copy the output and paste it into your database client, migration file, or documentation.
Use Cases
- •Seeding a PostgreSQL staging database with a realistic users or orders schema before writing any application code
- •Pasting a dialect-correct CREATE TABLE block into a Flyway or Liquibase migration as a versioned starting point
- •Providing working SQL examples in a technical blog post or YouTube tutorial without hand-writing DDL
- •Comparing how the same orders table is defined across PostgreSQL, MySQL, and SQLite in a database course
- •Dropping a ready-made audit log schema into an open-source starter kit so contributors have a real reference
Tips
- →Generate the same preset in all three dialects side by side to spot syntax differences when porting a schema.
- →Use the Audit Logs preset as a starting point for any table that needs created_at, updated_at, and actor tracking.
- →Rename the table to match your domain before copying — constraint and index names will update automatically, saving a tedious find-and-replace.
- →Combine multiple generated schemas in one migration file: generate Users first, then Orders, so foreign key references resolve in the correct order.
- →For tutorial content, the SQLite preset runs without any server setup, making it ideal for code examples that readers can execute immediately.
- →Strip the DROP TABLE IF EXISTS guard when using the output in a production migration to avoid accidental data loss in CI pipelines.
FAQ
can I run the generated SQL directly in psql or MySQL Workbench
Yes. The output is valid DDL you can paste straight into psql, MySQL Workbench, DBeaver, or TablePlus and execute without edits. For migration tools like Flyway or Liquibase, save it as a versioned .sql file. For Prisma or TypeORM, use it as a structural reference when writing the equivalent model definition.
what is the difference between the PostgreSQL, MySQL, and SQLite output
Each dialect gets syntax-appropriate DDL. PostgreSQL uses SERIAL or UUID with gen_random_uuid() and standard BOOLEAN. MySQL uses AUTO_INCREMENT, TINYINT(1) for booleans, and an InnoDB engine declaration. SQLite uses INTEGER PRIMARY KEY and TEXT for most columns since its type system is loosely typed.
is the generated schema safe to use in production as-is
Treat it as a strong starting template rather than a final schema. The output follows real-world conventions — sensible VARCHAR lengths, NOT NULL constraints, foreign key references, indexes on high-traffic columns — but you should review it against your load profile and indexing strategy before deploying.
does changing the table name affect the index and constraint names
Yes. Index names use the pattern idx_tablename_column, so overriding the table name in the Table Name field updates index names consistently throughout the output — no manual find-and-replace needed.
You might also like
Popular tools from other categories that share themes with this one.
Try these next
More free tools from other corners of the catalog, picked by shared themes.