Best Practices for Seeding Test Databases with Fake Data

Every development team needs to populate staging and test databases with realistic data. Using real user data creates serious privacy and compliance risks. Fake data — including generated phone numbers — is the correct solution, but it must be done right.

Why Database Seeding Matters

Test databases with realistic data allow developers to:

• Reproduce production-like scenarios in controlled environments
• Test UI components with varied, realistic field lengths
• Validate search, filter, and sort functionality realistically
• Demonstrate app features to stakeholders without privacy risks

The Problem with Using Real Data

Copying production data to staging environments is tempting but dangerous. It violates GDPR, CCPA, and most privacy regulations. A breach of a staging environment then exposes real customer data — and results in heavy fines and reputational damage.

Generating Phone Numbers for Test Seeds

Our phone number generator lets you create up to 10 numbers at a time, or download them as CSV. For bulk seeding, here's how to integrate the logic into your workflow:

Step 1: Generate Numbers via the Tool

Select your target country (e.g., USA), choose Mobile or Landline, set quantity to 10, and download the CSV. This gives you a clean dataset to import.

Step 2: Import into Your Database Seed Script

Step 3: Validate Format Consistency

Make sure your seeder respects the same format your app expects. If your front-end strips formatting and stores only digits, strip the formatting from generated numbers before seeding.

Best Practices Summary

• ✅ Always use generated/fake data in non-production environments
• ✅ Match the format your API/DB expects (E.164, local, etc.)
• ✅ Use multiple countries if your app serves international users
• ✅ Version-control your seed data alongside your schema migrations
• ✅ Clearly label test databases so real data is never mixed in
• ❌ Never copy production user data to staging