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Tonic StructuralTonic.ai

Synthetic data platform enabling realistic, compliant, and scalable data generation for safe software development.

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Product details

Overview

Tonic Structural is a synthetic data generation tool designed to create realistic, privacy-safe, and compliant datasets that replicate the structure and relationships of real production data. It enables software development teams to work with high-fidelity synthetic data for testing, development, and analytics without exposing sensitive information. The product leverages automation and configuration flexibility to produce structurally accurate datasets that mirror the complexity and integrity of real databases. This supports secure and efficient development workflows, improves testing quality, and facilitates compliance with data privacy regulations.

Features and Capabilities

  • **Synthetic Data Generation: **Generates structurally realistic, privacy-safe synthetic data that preserves relationships between data elements.
  • **Data Privacy and Compliance: **Ensures compliance with regulations by eliminating the use of real sensitive data in development and testing environments.
  • **Data Structure Preservation: **Maintains the complex relational integrity and dependencies present in production databases, allowing realistic scenarios.
  • **Automated and Configurable Workflows: **Offers automation tools and customizable settings to tailor synthetic data generation to specific business needs and schema complexities.
  • **Scalability: **Supports generating large volumes of synthetic data at scale for enterprise-level testing and analytics.
  • **Integration with Development Pipelines: **Enables seamless integration with CI/CD workflows and data operations for continuous delivery environments.
  • **Multi-Database Support: **Compatible with various database systems, supporting diverse data architectures.
  • **Version Control and Auditability: **Tracks synthetic data generation processes, allowing auditing and versioning to maintain data integrity and governance.
  • **Data Refresh and Masking: **Provides options for data refresh cycles and masking policies to continuously supply up-to-date safe datasets.
  • **User-Friendly Interface: **Simplifies configuration and management of synthetic data projects with an intuitive UI and documentation.