Sample Data Generation
Evaluating business software with an empty database is like test driving a car with the seats removed. Technically you can do it, but you're not experiencing anything like the real thing.
A list that shows zero records tells you nothing about how filtering will work at 500 records. A detail page with no data tells you nothing about how the layout will look when it's filled in.
Swifty's sample data generation solves this.
Realistic Data, Instantly
With one action, Swifty populates your application with realistic sample records. Customers with names, addresses, and contact details that look real. Orders in various stages of the workflow. Invoices with line items and different payment statuses. Tasks with due dates and assignments.
The sample data reflects the object types and fields you've defined — so it looks like your application, not a generic placeholder.
See the Real Experience
With sample data loaded, you can:
- Filter lists and see how the filters work at scale
- Navigate between related records and experience the connection
- See how color-coded status badges look across a full list
- Test the audit trail and history panel with real-looking changes
- Walk through a workflow transition to see the validation and automation
All of that with data that resembles reality, not blank placeholders.
Safe to Delete
Sample data is clearly marked as generated. Remove it all at once when you're ready to start with real records — one click, and the test data is gone. Your configuration, your fields, your workflows — all intact.
For Demos and Training
Sample data generation isn't just for evaluation. It's also useful for:
- Demos: Show stakeholders a working application without exposing real customer data
- Training: Give new team members a realistic environment to practice in before going live
- Development: Test new configurations against representative data before deploying
In each case, the data looks real, the experience is realistic, and the actual production data is never touched.