[hichkaker]

As a data engineer, validating your SQL code as you develop pipelines is hard. It requires running the code to materialize a "development" dataset, then auditing the resulting dataset to ensure your code produces the correct output. That tedious process usually involves writing lots of ad-hoc SQL scripts.

We built an integration with a popular framework for orchestrating SQL pipelines – dbt – that enables developers quickly profile their development datasets and diff them against production to audit their work as they code. It's free for individual developers. (We make money by selling CI/CD validation to teams)