Data diffing use cases
Use data diffing to quickly check for differences between any two datasets within or across databases. Whether you’re updating a simple dbt model, or undergoing a large migration, know exactly how your data differs.
Use data diffing to quickly check for differences between any two datasets within or across databases. Whether you’re updating a simple dbt model, or undergoing a large migration, know exactly how your data differs.
Datafold Cloud’s data diffing automates regression testing with integration into the CI process through your git repository. Validate every dbt code change, so you can easily see how changes in your code potentially impact the data produced across all rows and columns, downstream tables, and BI tool assets.
For every table and column, data diffing identifies differences between your source and target, helping you to quickly fix discrepancies and to prove the correctness to your stakeholders.
Stop spending (precious!) hours writing ad hoc SQL tests and second-guessing your data work. Automatically identify discrepancies—all the way down to the value-level—between two datasets.
Built to integrate with your current (and future) data stacks
saved during the validation process for each new model
rebuilt and validated in Snowflake
"Datafold allows real visibility into data changes before the changes are live, reducing mistakes and enabling our analysts and stakeholders to feel confident in their changes."
data accuracy & quality KPI achievement
faster testing and code review
“Datafold helps you find the hidden changes you didn't know you made to your data, helping you if they’re unintended or understanding what's causing them.”
hours saved per month
increase in productivity
"You can see right off the bat whether your data quality is what you were expecting, and reviewers can see it, too. Now we’re at the rate where we’re automating code reviews, or close to it, on 100 pull requests per month. And this is just the start.”
pull requests checked by Datafold
total operations by Hightouch
"With Datafold, we're not just adding trust to our Snowflake instance, we're adding trust to our most important data that is getting activated via Hightouch."