The all-in-one synthetic test data platform for developers

Tonic Structural is a test data management solution for complex structured, semi-structured, and document-based data
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Features

All the capabilities you need to generate synthetic data from real data for complex dat management and effective end-to-end testing in any developer environment.
Masking
Securely transform your data without losing its utility.
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Subsetting
Shrink down your database while maintaining referential integrity.
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Synthesis
Maximize the realism and privacy of your test data.
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The value of synthetic test data
Developer productivity

Accelerate development, testing, and QA to shorten your sprints and get your products to market faster.

Faster time-to-market

Enable shift-left testing and development with better data for earlier bug detection and product optimization.

Cost savings

Eliminate resource-heavy workarounds and reduce infrastructure costs by streamlining DevOps test data management.

Data governance

Ensure regulatory compliance and reduce risk in your lower environments by enforcing security policies within test data generation.

Global enablement

Unblock off-shore teams and maximize your resources with synthetic test data that is safe, useful, and accessible.

Data and technology stack integrating Tonic Structural synthetic test data platform for improved productivity and management

Test data applications for development and QA workflows

For testing and QA
Generate synthetic test data that mirrors production to fix your staging environments, catch more bugs, and shorten release cycles.
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For local development
Get smaller, targeted datasets, de-identified on demand, to maximize your efficiency and minimize your risk.
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Tonic integrates with every leading database

Tonic Structural supports leading databases, like MySQL, PostgreSQL, SQL Server, and Oracle, offering seamless synthetic data generation and management for all your development and testing needs.

Resources
Explore our guides on all things synthetic test data, from the various approaches of data masking to how to apply test data best practices in implementing test data management software.
User guide
API reference
Release notes

AI in healthcare: data privacy and ethics concerns

Data privacy in AI

Use cases for de-identified datasets

Data de-identification

Data privacy vs security: understanding the difference

Data de-identification

Data anonymization vs data masking: is there a difference?

Data de-identification

Data de-identification in the healthcare industry

Data de-identification

Build better and faster with quality test data today.

Unblock data access, turbocharge development, and respect data privacy as a human right.
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Accelerate development with high-quality, privacy-respecting synthetic test data from Tonic.ai.Boost development speed and maintain data privacy with Tonic.ai's synthetic data solutions, ensuring secure and efficient test environments.