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SQL Table Designer

Design database tables visually with column types, constraints, defaults, and generate CREATE TABLE SQL.

Tested tool guide Tested browser tools Checked August 16, 2026

What SQL Table Designer does and how it behaves

Instead of typing CREATE TABLE by hand, you lay the table out as a list of columns: each row gets a name, a data type, and the constraints that apply to it (NOT NULL, PRIMARY KEY, UNIQUE), plus an optional default value, and the page assembles the finished statement for you. Everything runs in the browser, so the design never leaves the page. What surprises most people is that the SQL is dialect-shaped: types, quoting, and auto-increment idioms differ between SQLite, MySQL, and PostgreSQL, and the generated text follows the conventions of whichever dialect the page targets. Check it against your engine before running it.

How the result is produced

1

Designing a table

Each column in your table is one entry with a name, a data type, the constraints it carries (NOT NULL, PRIMARY KEY, UNIQUE), and an optional default value. The page assembles the CREATE TABLE statement from those entries in the order you defined them, so the final SQL is exactly as complete as the design: no primary key in the grid means no primary key in the output.

2

The generated SQL

The deliverable is DDL text: CREATE TABLE statements for the tables you designed, ready to copy into a migration file or database client. The page generates text rather than executing anything, so validity is your check, not the page's. A type name your database does not recognize, or a default it cannot parse, fails at your engine, not in the editor.

Good uses

  • Sketching a new table before writing its migration. You know the columns and constraints a customers table needs, so lay them out in the grid and copy the resulting statement into your migration file instead of typing DDL by hand.
  • Recreating DDL that no longer exists. An inherited or hand-built schema has no CREATE TABLE on file, but you remember what the columns were; rebuilding them visually produces a clean statement you can run against a fresh database.
  • Seeing how constraints map to SQL. Setting PRIMARY KEY, UNIQUE, and NOT NULL on columns and watching each one appear in the statement is a direct way to understand what DDL expresses, which also makes the tool handy for teaching or learning.

Limits and checks

  • [object Object]
  • [object Object]
  • [object Object]

Common questions

Which database is the generated SQL for?

The statement is written in the dialect conventions the page uses, which may not be the one you deploy to. SQLite, MySQL, and PostgreSQL accept different type names, quoting, and auto-increment syntax, so the same design produces different SQL on each. Check the output against your engine's CREATE TABLE rules before running it, and prefer types that exist everywhere, such as INTEGER and TEXT, when you want portability.

Can it handle indexes and foreign keys?

Only what the page exposes: the tool's scope is column types, constraints, and defaults. Indexes, table-level constraints, and engine-specific storage settings are not part of a column design, so expect to add them to the generated statement yourself or manage them in your migration tooling.

References and verification

The behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.

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