Test data generator

What is test data generation?

Test data generation creates realistic but fictional datasets that stand in for production data during development. Instead of copying sensitive records or hand-typing rows, a generator produces structurally correct data — names, emails, dates, numbers — on demand.

Good test data exercises the same code paths as real data without the privacy risk, and it's easy to regenerate whenever you need a fresh set.

When to use mock data

• Unit and integration testing with realistic inputs
• Prototyping UIs before the backend is ready
• Building demo environments and sales decks
• Load testing and performance benchmarks
• Seeding development and staging databases

How this generator works

Define columns with a name and a type. The generator randomly samples from curated lists of first names, last names, cities, companies, and domains to produce data that looks plausible. Numeric and date columns use bounded random ranges. Choose JSON for structured output, CSV for spreadsheets and flat files, or SQL INSERT statements for direct database seeding.

From test data to real insights

Once you move past mock data and start working with production datasets, Basedash can skip the manual query-writing step entirely. Describe the insight you need in plain English, and Basedash writes the query, runs it, and renders the visualization — all in seconds. It connects to PostgreSQL, MySQL, BigQuery, Snowflake, and 750+ other data sources.