DATA DIFF

Value-level differences for regression testing and data reconciliation

Data Diff tells the complete story of your data, helping you identify, diagnose, and prevent data issues.
SOLUTIONS

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.

IMPACT ANALYSIS IN YOUR CI/CD PROCESS

Faster and standardized code reviews

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.

MAKE DATA RECONCILIATION A BREEZE

Identify parity across systems—fast

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.

VALUE-LEVEL DIFFERENCES

QA data in minutes, not hours

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.

How Datafold is accelerating the way data teams work