DataStandIn

How it works

  1. Provide supported CREATE TABLE DDL for a custom relational schema.
  2. Review the analyzed tables, relationships, types, and supported constraints.
  3. Configure row counts, value sources, and optional dirty-data rules.
  4. Generate a seeded dataset and choose CSV, JSONL, or Parquet output.

Template scenarios are available for exploration; runnable template configurations are coming soon. The generator uses the schema as the source of truth so foreign-key relationships remain aligned across generated tables.

Related

Read the docs

Start with the getting started topic.

Open the generator

Configure a schema-driven dataset.