AI-Driven Test Data Management for MySQL: Masking, Subsetting, and Generation with Synthesized

Why synthesized for Mysql application testing

Build reliable and robust MySQL-based applications

Robust development and testing

Synthesized ensures rapid detection, root cause analysis, and resolution of data quality issues, enabling quick mitigation before impacting your operations. Feel confident in your application by finding the root cause before anyone else.

Automated full data coverage

Cover a wide range of common data quality issues with our automated data generation scenarios.

Find “unknown unknowns”

Manual data generation rules and thresholds can only go so far. AI-based data generation finds the issues you didn’t plan for in advance.

Meet rigorous regulatory compliance standards

Restrict the use of production sensitive data (customer names, contact information, PCI, or PHI data) by anyone, externalor internal, who does not need access to the data to do their job.

Automated test data provisioning

Test data at scale across retail, e-commerce, and media

Inventory and supply chain

Synthesized generates diverse and realistic databases to simulate various inventory scenarios, helping e-commerce platforms rigorously test their inventory management systems and algorithms to ensure accurate stock levels and availability.

Application prototyping

Expedite MySQL application prototyping by swiftly provisioning prototype databases with realistic data. Stakeholder engagement is heightened as prototypes closely mirror real-world scenarios, enabling informed decision-making. Agile development practices are supported through flexible iteration based on real Salesforce data feedback, mitigating risks through early issue identification.

End to end testing

Facilitates comprehensive E2E testing for MySQL applications by furnishing diverse and realistic databases for testing environments. Data consistency across lower environments ensures accurate test results, while scalability supports rigorous testing scenarios. Automated data provisioning accelerates testing cycles, empowering development teams to iterate quickly and deliver high-quality applications efficiently.

Debugging

Synthesized aids debugging for applications by replicating production scenarios in controlled environments, facilitating issue identification and resolution. Problematic data can be isolated for targeted troubleshooting, streamlining the debugging process. Data privacy compliance is assured through sensitive information masking, while streamlined collaboration supports efficient problem-solving among development teams.

Provision reliable data subset

AI-enhanced data masking

Synthesized employs AI algorithms to intelligently select and provision data subsets that closely resemble production environments, ensuring that development and testing activities are conducted with realistic and representative datasets.

Efficient resource utilization

By generating right-sized data subsets tailored to specific use cases, Synthesized optimizes resource utilization in development environments, minimizing wastage and improving efficiency.

Seamless Integration with Cloud Environments

Synthesized seamlessly integrates with cloud platforms to create ephemeral databases for development and testing purposes, offering a cost-effective alternative to using production databases in the cloud.

See documentation

Preserve data consistency

AI-powered data consistency

Synthesized leverages AI to preserve data consistency across development environments, ensuring that provisioned data accurately reflects the state of production datasets.

Transactional data operations

Synthesized supports transactional data operations to maintain data consistency during provisioning processes, guaranteeing reliable and reproducible results.

Dynamic data refresh

Synthesized offers dynamic data refresh capabilities to keep provisioned datasets synchronized with changes in production data, minimizing discrepancies and ensuring up-to-date testing environments.

See documentation

Protect customer data privacy

AI-enhanced data masking

Synthesized utilizes AI-enhanced data masking techniques to anonymize and protect sensitive customer data, safeguarding privacy while maintaining data utility for development and testing purposes.

Role-based access control integration

Synthesized integrates role-based access control mechanisms to restrict access to sensitive customer data, ensuring compliance with regulatory standards and mitigating privacy risks.

AI-enhanced data masking

Synthesized utilizes AI-enhanced data masking techniques to anonymize and protect sensitive customer data, safeguarding privacy while maintaining data utility for development and testing purposes.

See documentation

Provision reliable data subset

AI-Driven Data Selection: Synthesized employs AI algorithms to intelligently select and provision data subsets that closely resemble production environments, ensuring that development and testing activities are conducted with realistic and representative datasets.

‍Efficient Resource Utilization: By generating right-sized data subsets tailored to specific use cases, Synthesized optimizes resource utilization in development environments, minimizing wastage and improving efficiency.

‍Seamless Integration with Cloud Environments: Synthesized seamlessly integrates with cloud platforms to create ephemeral databases for development and testing purposes, offering a cost-effective alternative to using production databases in the cloud.

View tutorials

Preserve data consistency

AI-Powered Data Consistency: Synthesized leverages AI to preserve data consistency across development environments, ensuring that provisioned data accurately reflects the state of production datasets.

Transactional Data Operations: Synthesized supports transactional data operations to maintain data consistency during provisioning processes, guaranteeing reliable and reproducible results.

Dynamic Data Refresh: Synthesized offers dynamic data refresh capabilities to keep provisioned datasets synchronized with changes in production data, minimizing discrepancies and ensuring up-to-date testing environments.

View tutorials

Protect customer data privacy

AI-Enhanced Data Masking: Synthesized utilizes AI-enhanced data masking techniques to anonymize and protect sensitive customer data, safeguarding privacy while maintaining data utility for development and testing purposes.

Role-Based Access Control Integration: Synthesized integrates role-based access control mechanisms to restrict access to sensitive customer data, ensuring compliance with regulatory standards and mitigating privacy risks.

AI-Enhanced Data Masking: Synthesized utilizes AI-enhanced data masking techniques to anonymize and protect sensitive customer data, safeguarding privacy while maintaining data utility for development and testing purposes.

View tutorials