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Get Insights to Your Data Quality
<Effortlessly>

From business users to engineers, everyone can automate data checks, monitor data health icon and scale data governance — easily.

CAT delivers real-time data quality insights and effortlessly integrates into your DevOps workflows.

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Self-Service your Data Quality
Build, run, and automate data tests on your own. Be yourself and show everybody your unique data quality insights—starting today!
Welcome everyone to data quality management. Just one step to install, one step to create a project—paste your queries, and you're ready to manage data quality!
Connect to any data storage you need—whether it's Power BI, Oracle, Excel, AWS, CSV, Databricks, Snowflake, or others. Combine your data checks from multiple sources with ease.
Download the CAT toolstack and connect to your data directly from your home environment. Your data remains secure and uncompromised—no internet connection required!
Share your tests with your team, integrate them into your favorite DevOps platforms like GitHub Actions, Azure DevOps, or Jenkins, regularly gather data quality insights and make it available to the whole organization.
Enjoy interactive testing completely for free—with no limits on the number of users or data sources! You only pay for autonomous test runs.

Our <Edge>

CAT Studio

CAT Studio is a lightweight, user-friendly tool for managing data quality with ease. Connect to your data sources, run tests offline, and keep your data secure—no coding required. Designed for Windows, CAT Studio offers a visual interface to build, run, and automate data tests effortlessly. 

CAT Clients 

CAT also includes several powerful command-line options for autonomous data testing. Run your tests in any environment—locally or in CI/CD pipelines—without compromising data security. The toolset includes cat-py (Python module), cat-pwsh (PowerShell), and cat-cli (Windows cli), offering flexibility and seamless integration into your DevOps workflows.

DevOps Native

CAT seamlessly integrates with your DevOps workflows, enabling automated data quality checks as part of your CI/CD pipelines. It supports popular platforms like GitHub Actions, Azure DevOps, Jenkins, and GitLab CI, making it easy to embed testing into your deployment process. With flexible command-line tools and simple configuration, CAT ensures your data quality is continuously monitored and maintained. 

Data Secured

With CAT, your data never leaves your environment—ensuring complete privacy and control. The toolstack operates entirely offline, meaning no data is ever sent to the cloud or external servers. Whether you’re testing locally or in a secure enterprise setup, CAT guarantees that your client data remains fully protected at all times. 

Frequently asked
questions

Not sure how CAT fits your workflow?
You’ll find helpful answers just below and if not, we’re here to help.

Product
questions

Organizations that care about data quality and want a fast, cost-effective start. CAT benefits both business and IT teams and can quickly build trust in your data. 

CAT allows you to create your first data tests in minutes using plain SQL. Just provide a SQL statement, provide expectation, and name the test. Done. 
Developers often check their work but rarely retest deployed stuff. This can lead to regressions. CAT enables effortless automated testing using queries you’d run anyway. 
Enforcing data rules has never been easier. With CAT, you can define and enforce constraints—like mandatory columns, rules for your schemas, or naming conventions—using plain SQL. These rules can be easily integrated into CI/CD pipelines. 
During migrations—especially when the old system is still evolving—CAT helps ensure data is transferred correctly. Automated tests validate both structure and content, regardless of the target technology. 

Anyone Can Write Tests 

CAT lowers the barrier to entry for data testing. Even junior IT staff or skilled business users can write effective tests. Don’t waist the talent and precious time of senior developers. CAT already proved that even the most junior IT people or skilled business people can cover your solution with tests. 

Quick Start 

You can get started in under 45 minutes—even with no prior experience. This metric is continuously evaluated and is improving. 

Immediate Impact 

CAT delivers results on day one. No lengthy implementation projects. The learning curve is smooth and friendly. 

Transparency 

CAT promotes transparency in data quality: 

  • For IT: Easy CI/CD integration. 
  • For business: Simple reporting via exports to relational databases. 


Collaboration 

CAT fosters collaboration between IT and business teams, making data quality a shared effort. 

Cost-Effectiveness 

CAT is more reliable and cost-effective than manual testing. Compared to skipping testing altogether, CAT helps avoid the high cost of inaction—like financial loss, missed opportunities, or reputational damage. 

Technical
questions

CAT supports a wide range of data sources: 

  • Relational databases: SQL Server, Oracle, MySQL, PostgreSQL, MariaDB, etc. 
  • Files: Excel, CSV, YAML 
  • Analytical platforms: Power BI, Databricks, MS Fabric, Snowflake, ClickHouse 


See the full list of supported technologies.
 

CAT is highly flexible. The most common method is using simple YAML files. You can also define tests in Excel files or load them from relational databases. 
Yes. You can compare e.g., data in Azure Databricks with data in a Power BI semantic model. CAT is even efficient at comparing large volumes of data.  
CAT can output results in Excel, JSON, and other formats. It also supports outputs compatible with automation platforms like Azure DevOps, GitHub Actions, and GitLab. Results can be streamed into relational databases for easy reporting. 
Absolutely. Our documentation includes step-by-step guides for integrating CAT with Azure DevOps, GitHub Actions, GitLab, Jenkins, and more. 

What’s next?

Don’t just read about automated data testing—try it.
Our documentation will guide you step by step. And if you hit a bump along the way, we’re here to help.

Contact Engineering Team

We are ready to assist you with product insights, implementation support, or anything data testing related.