# Production-like test data provisioned on demand Enable shift-left testing, accelerate your release cycles, and ship better products faster with compliant test data that mirrors the shape and complexity of production. ## 👋 Say goodbye to brittle scripts and outdated tools. With an intuitive UI, fully accessible API, and native data connectors, Tonic Structural is the test data management solution built for today’s data environments. ### Automated sensitive data discovery Automatically detect PII and PHI throughout your data, configure custom rules to catch sensitive data types unique to your organization, and bulk-apply compliant, recommended generators. ### Consistent data masking and synthesis Capture your data’s complexity with ease through automated, consistent transformations that preserve relationships and referential integrity across testing and development environments. ### Patented database subsetting Create targeted, coherent data subsets for local development and debugging that are orders of magnitude smaller than full production copies without breaking referential integrity. ### TDM without the tedium Automate data de-identification with agentic AI: leverage the built-in agent to apply and configure generators, populate custom data types, and enforce data compliance requirements. ### Enterprise-grade security and collaboration Leverage secure collaboration features, including role-based access control, workspace sharing, privacy reports, and audit trails to ensure data governance across your organization. ### Rapid data refresh Automatically detect and address schema changes, and schedule regular data generations to eliminate bugs and test suite failures tied to stale test data and out-of-sync environments. ## 25x productivity “Tonic has been incredibly user-friendly, providing the features we needed to scale our performance testing. What once took nearly two and a half hours to generate the test data we need, now takes just 35 to 45 minutes, end-to-end.” Debarati Mukhopadhyay Principal Performance Engineer ## 8PB subset down to 1 GB dataset “Tonic has an intuitive, powerful platform for generating realistic, safe data for development and testing. Tonic has helped eBay streamline the very challenging problem of representing the complexities contained within Petabytes of data distributed across many environments.” Senthil Padmanabhan VP of Engineering ## 3x faster release cycle “With Tonic, we’ve shortened our build process from 60 minutes down to 20. Their subsetting and de-identification tools are a critical part of Everlywell’s development cycle, making it easy for us to get data down to a useful size and giving me confidence it’s protected throughout.” Sebastian Kowalczyk Senior DevOps Engineer ## Generate compliant test data that looks, acts, and feels just like production. ### Deploy Tonic Structural Deploy a self-hosted instance of Structural, or work with your data in our Cloud offering. ### Connect to your data Structural offers native connectors to all the leading relational and NoSQL databases, data warehouses, lakehouses, and file types. ### Transform your data Automatically detect sensitive data types and realistically mask or synthesize new values that maintain consistency and preserve relationships across your database. ### Provision realistic data on demand Spin up isolated, fully hydrated databases as often as you need, to ensure each developer is equipped with compliant, targeted test data. ## Performant native data connectors Seamlessly integrate with modern and traditional data sources, including relational databases, data warehouses, flat files, and NoSQL data stores, maintaining consistency in transformations across environments and database types. ## Full-spectrum data synthesis with the Tonic.ai product suite Get consistent and complete coverage for your data de-identification needs by pairing Tonic Structural’s relational data capabilities with Tonic Textual’s unstructured data redaction and synthesis. Add Tonic Fabricate for synthetic data generated from scratch, to fill the gaps where existing data is lacking. Tonic.ai’s solutions ensure data utility and compliance across testing, development, and AI model training. ## Frequently asked questions ### What is Tonic Structural? Tonic Structural is a data de-identification platform designed to protect sensitive structured and semi-structured data while preserving schema accuracy and data usability. It applies advanced, secure transformations directly to existing datasets rather than generating entirely new records. ### What industries commonly use Tonic Structural? Tonic Structural is widely used in highly regulated industries like finance, insurance, and healthcare where strict privacy controls are required but data realism is key for software development and testing. ### How does Tonic Structural fit into modern data workflows? Tonic Structural integrates into CI/CD pipelines and data governance programs, enabling repeatable, policy-driven data protection that scales across teams and environments. ### Does Tonic Structural preserve referential integrity? Yes. Tonic Structural maintains primary and foreign key relationships across complex schemas, ensuring applications and tests behave as expected after data is de-identified. ### When should teams use Tonic Structural instead of synthetic data from scratch? Teams should use Tonic Structural when they need to maintain the intricate business logic and referential integrity of their existing production data. Structural’s high-fidelity approach ensures that teams can catch complex, real-world edge cases and troubleshoot production-level issues with datasets that are firmly representative of actual user behavior. ### How does Tonic Structural protect sensitive data? Tonic Structural uses configurable techniques such as masking, tokenization, generalization, scrambling, and format-preserving encryption. These transformations ensure sensitive fields are protected while maintaining realistic formats, relationships, and constraints required for downstream systems.