data diff

1-click regression testing for ETL

Verify data changes across billions of rows

regression testing

100% test coverage for data

Data Diff helps you avoid regressions in ETL by showing you how data changes across all rows and columns when you modify code or copy data between systems


Automate data QA

Integrate Datafold in your repo, CI & code review process to protect your codebase from breaking changes

use cases

Automated QA

Increase reliability of your data transfers and data transformation workflows

Regression testing
See how changes in your code affect the produced data
Code reviews
Eliminate errors and accelerate team velocity
Data transfer validation
Ensure consistency when copying data between databases
ETL migrations
Easily detect and reconcile differences when migrating ETL to a new data warehouse

best practices

From 0 to 100% test coverage for your ETL

Data Diff gives you visibility into all changes introduced by code modification or data transfer without requiring you to write test cases manually

Scales with your data
  • Work with billion-row tables

  • Minimizes costs through sampling

  • Volume-neutral pricing

Enterprise ready
  • Deploys on-prem in < 30 min

  • Integrates with SSO providers

  • Security & Privacy compliant*

Immediate Impact
  • Save hours per weeks

  • Minimize risk

  • Increase team velocity

*Proudly SOC 2 compliant

Don’t just take our word for it

See what our customers are saying

"Datafold is a game-changer— there is so much value in actually understanding the effect of your pull request. It gives me the confidence that my code does what I expect it to do"

"Datafold makes it a lot easier to understand the impact of your change on downstream data. The tool is super easy to use and does a great job highlighting exactly where there are differences in your data in a digestible way".

"While Datafold is still young and the tool is in its early stage, the foundation of the business is super sound. The core platform is so valuable. Datafold is solving a problem that no one else is trying to solve".

"Column-level lineage gives a holistic view of data dependencies and interdependencies. It’s so powerful - with even more insight than table-level lineage - I get really excited about what it can do!"

"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".

"Datafold compares tables thoroughly within seconds, even at a billion-row scale. Without it, we would need to spend hours writing long SQL scripts to verify our ETL migrations to Airflow".

"We recently started using Datafold at work and I love it. It saves a lot of time and helps me feel more confident about the changes we make to our tables".

"Easy to use, saves a lot of time, and provides a lot of valuable information all in one place!"


The missing puzzle piece in your modern data stack

Datafold seamlessly plugs in all major SQL data warehouses and ETL tools.

immediate business impact

Proactive data observability benefits everyone

Data Developer
  • Deploy with confidence

  • Eliminate toil work

  • Focus on creative tasks

  • Increase productivity

Explore Sandbox
Data Team Manager
  • Prevent data incidents

  • Establish data quality culture

  • Increase team velocity

  • Improve stakeholder trust

Estimate Impact
Business User
  • Be confident in data

  • Minimize business risk

  • Get data faster

See a live Example