Want to stop losing great ideas to low-quality tests? Tonic provides the finest artisan test data, hand-faked for your environments.
You need usable test data that represents production as closely as possible, without violating compliance requirements or compromising data integrity. Tonic does exactly that. We make it possible to safely test with data that looks, acts, and feels exactly like production data.
Better staging environments require better data to test with. And that’s what Tonic does best—safe, reliable, entirely synthetic test data. It behaves like production data in testing, because it is made from production data. And made completely safe.
Ever wished you didn’t have to work with petabytes of production data in staging, QA, and beyond? Tonic enables your team to freely subset large data sets into smaller, more manageable ones, without losing any of that data’s utility. It’s all the agility of pre-prod environments, with none of the risk.
Anonymize a field and still use it in a join, preserve the cardinality of a column, and match duplicate data DBs.
Anonymize a field and still use it in a join, preserve the cardinality of a column, and match duplicate data DBs.
Create a highly accurate subset tailored to your needs, with as many seed data columns as your heart desires.
Preserve critical relationships and maintain consistency, even with semi-structured or unstructured data.
Tonic integrates seamlessly into existing workflows, operations, and CI/CD pipelines using the most advanced technologies available.
No matter what kind of data you work with, Tonic creates fake data that looks, acts, and feels just like your production data.
Work across (and between!) heterogeneous databases to capture your entire data ecosystem, all in one place.
Enable your developers, unblock your data scientists, and respect data privacy as a human right.
