Synthesized

Synthesized

Synthesized automates test data provisioning and management, generating production-like databases while ensuring data privacy and compliance for efficient development.

Location: United Kingdom
Software Type: Web App
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Description

Synthesized is a comprehensive platform for automated test data provisioning that aims to enhance the efficiencies of development and operations teams. Utilizing generative AI technologies, Synthesized allows users to generate production-like databases rapidly, which significantly improves testing and development cycles. The platform supports various relational databases such as PostgreSQL, Oracle, MySQL, and SQL Server, making it versatile for different environments.

Key functionalities include:
- Data Generation: Users can create synthetic or realistic data that mirrors production environments, allowing for extensive test coverage without compromising sensitive information.
- Data Masking: Protect sensitive data through intelligent masking techniques, ensuring compliance with data privacy regulations while maintaining usability.
- Dynamic Test Data Refresh: Quickly refresh test data as needed, promoting agility in testing processes.
- Data Subsetting: Generate smaller, relevant datasets from larger databases to streamline testing and speed up development cycles.
- Integration with CI/CD Pipelines: Seamlessly integrates into existing DevOps workflows, enhancing productivity and enabling faster application development.

With a focus on improving data quality and ensuring compliance, Synthesized provides a self-service UI that allows users to configure data generation and masking parameters to meet specific needs. The platform not only enhances automation but also saves time, which is critical in today’s fast-paced development landscape. Notable clients like Deutsche Bank trust Synthesized to help overcome challenges related to production data and privacy, making it a valuable tool for any engineering organization.

Features

Generative AI for Intelligent Data Management

Utilizes AI algorithms to generate synthetic data quickly, ensuring realistic testing environments while protecting sensitive information.

Self-Service User Interface

Allows users to independently configure and manage data generation, masking, and subsetting processes according to specific requirements.

Compliance and Data Privacy

Ensures adherence to data privacy regulations through advanced masking techniques and secure data management practices.

CI/CD Integration

Seamlessly integrates with Continuous Integration and Continuous Deployment pipelines to streamline workflows and enhance productivity.

Multi-Database Support

Supports a wide range of relational databases, including PostgreSQL, MySQL, Oracle, and SQL Server, facilitating diverse use cases.

Dynamic Test Data Refresh

Enables rapid refreshing of test data to keep up with development changes and testing requirements.

Tags

Test DataSynthetic DataData MaskingAI SolutionsDevOps

Documentation & Support

  • Documentation
  • Support
  • Updates
  • Online Support