Expert insights on synthetic data

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Evaluating open-source tools for data masking

Can you use open-source tools to mask sensitive production data for use in testing and development? We explore the available options and weigh the pros and cons of relying on DIY data masking solutions.

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What is data subsetting? The art and science of only using the data you need

Test data management

How to create realistic test data for Amazon Redshift

Test data management

How does differential privacy work? Plus, how to know if your organization needs it!

Data privacy

What is patient data privacy in healthcare? Everything you need to know

Healthcare

What is the role of data synthesis in my CI/CD pipeline, anyway?

Test data management

How to integrate Tonic.ai into your CI/CD pipeline with Jenkins

Technical deep dive

Creating fake data for testing in Snowflake? You should be using Tonic. Here’s why.

Product updates

How to mask data for testing in MongoDB

Technical deep dive

Four ways to generate fake data that aren’t working as well as you think

Test data management

Anonymizing your data in Db2 for better testing and development

Technical deep dive

We raised a $35M Series B. Here's what's next for fake data.

Tonic.ai editorial

Dockerize Mongo to get consistent data across your development environments

Technical deep dive

Build better and faster with quality test data today.

Unblock data access, turbocharge development, and respect data privacy as a human right.
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.