The all-in-one test data platform for developers

A test data management solution built for complex relational data

Features

All the capabilities you need to generate synthetic data from real data for effective end-to-end testing.
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.

Essential test data applications

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

From relational data to data warehouses to document-based data in MongoDB, we’ve got you covered.
Logo cloud of data source integrations for Tonic
“Tonic has an intuitive, powerful platform for generating realistic, safe data for development and testing.”
Senthil Padmanabhan
Senthil Padmanabhan
Technical Fellow, VP of Engineering
See it live.
Get a personalized tour of our test data management solution by connecting with our team.
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.
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The Role of Ephemeral Environments in QA
Test Data Management
Guide to data privacy compliance for financial institutions
Data synthesis
Understanding automated data redaction
Data Masking
The Role of NER in GDPR Compliance and Beyond
Generative AI