Learn how to create, maintain, and utilize test data effectively throughout your development lifecycle.
Read More →Ensure your test data meets privacy regulations without compromising testing effectiveness.
Read More →How to integrate generated data into your automated testing pipelines for comprehensive coverage.
Read More →Techniques for creating large-scale, realistic datasets to evaluate database performance under load.
Read More →Our data generation goes beyond simple randomization. We use sophisticated algorithms that create realistic patterns while maintaining necessary randomness for testing purposes. For example, names follow regional distributions, addresses include valid postal codes, and phone numbers use proper area codes.
Yes, our tool offers extensive customization options. You can specify formats for dates, phone numbers, addresses, and other data types. You can also define custom patterns using regular expressions for specialized requirements. These customizations can be saved as templates for future use.
All data is generated synthetically and doesn't correspond to real individuals. Our algorithms are designed to create information that looks realistic but contains no actual personal data. This approach complies with GDPR, CCPA, HIPAA, and other privacy regulations for test data.
The web interface allows generation of up to 10,000 records at once. For larger datasets, we offer API access and enterprise solutions that can generate millions of records efficiently. Performance depends on your device capabilities and data complexity.
Absolutely. Our tool supports region-specific data generation for over 50 countries. You can select a country or region, and the tool will automatically adjust formats for addresses, phone numbers, names, and other locale-specific data. We're constantly adding support for more regions based on user demand.
Yes, we offer a robust REST API for programmatic data generation. The API documentation is available to all registered users, with various authentication options and rate limits based on your subscription plan. This allows integration with your CI/CD pipelines, testing frameworks, and development workflows.
We release updates with new data types and features approximately every 6-8 weeks. Our roadmap is heavily influenced by user feedback, so we encourage you to suggest data types that would be valuable for your work. Recent additions include cryptocurrency addresses, medical codes, and vehicle identification numbers.
Yes, our advanced mode allows you to define relationships between fields. For example, you can ensure that generated ages match birth dates, or that area codes correspond to cities in addresses. These relationships can be simple one-to-one mappings or complex conditional logic based on your testing needs.
We currently support CSV, JSON, SQL (with table creation statements), and XML formats. Each format has customization options like delimiters, encoding, and whether to include headers. The SQL export can generate INSERT statements for multiple database systems including MySQL, PostgreSQL, and SQL Server.
Yes, you can save your generation configurations (including the random seed) as templates or shareable links. Using the same configuration with the same seed will produce identical results, which is valuable for reproducible testing scenarios. All your saved configurations are accessible from your account dashboard.