DataGen

DataGen is a visual data generator designed to create high-volume mock datasets for testing databases and APIs. Supporting relational structures, nested JSON formatting, and random seed distributions, it helps QA teams build realistic staging environments.

Key Features of DataGen

• Visual Schema Builder: Design relational mock datasets using a clean drag-and-drop table designer.
• Dynamic Data Types: Supports random generator variables for names, emails, addresses, dates, and prices.
• Relational Integrity: Ensure correct foreign key relationships across generated tables and CSV datasets.
• Multiple Export Formats: Save mock datasets directly as SQL scripts, CSV tables, or JSON arrays.

Benefits of Using DataGen

• Simulate Real-World Load: Fill staging and dev databases with realistic records to test queries and indexes.
• Protect User Privacy: Use anonymous data patterns instead of copying sensitive production data to staging.
• Rapid Setup Time: Build large databases containing millions of valid relational entries in minutes.

To populate testing databases, DataGen enables QA engineers to generate large volumes of realistic synthetic datasets, avoiding manual form-filling and database seeding.