DATA DIFFING
Quickly check for differences between any two tables
Whether youāre updating a simple dbt model, or undergoing a large migration, know exactly how your data differs between two environments.
Automated
testing for
data engineers
At every stage of your data workflow ā from migration to deployment ā uncover data quality issues before they happen through data diffing, column-level lineage, and CI testing.
14-day free trialāno credit card required!
20+ orchestrator, database, & BI tool integrations
Loved by data teams who donāt compromise on data quality
Quickly check for differences between any two tables
CI/CD TESTING
Deploy data pipelines with confidence
Datafold adds a comment in the pull request stating exactly how your code change will impact production data if merged.
COLUMN-LEVEL LINEAGE
Create visibility & stakeholder trust
Easily share impact analysis, data diff reports, and column-level lineage with stakeholders before deploying transformation code changes to production.
Built to integrate with your current (and future) data stacks
Deployment
Datafold Cloud supports SaaS and dedicated cloud deployment options
Scale
Datafold scales to millions of tables, billions of columns and trillions of records
Compliance
Datafold Cloud is HIPAA, GPDR, and SOC 2 Type II compliant
Support
Get dedicated support from our team of expert data engineers
Deploy & scale securely
When you run your data quality tests in Datafold Cloudās secure and compliant environment, your team can focus on what really matters: providing high quality analytics to your organization and customers.
How Datafold is accelerating the way data teams work
Eventbriteās data team sped up PR reviews by 3x and reduced their data quality regressions by 90%
Quickly identify parity between legacy and new transformations or databases using data diff
Ensure your mission-critical data is as it should be with Datafold's data diffing and alerting
Add automation and governance to your data quality testing by ensuring every PR goes through the same testing process
3+ hours
saved during the validation process for each new model
300+ models
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."
Adam Underwood
Staff Analytics Engineer
100%+
data accuracy & quality KPI achievement
90%+
faster testing and code review
āDatafold helps you find the hidden changes you didn't know you made to your data, helping you if theyāre unintended or understanding what's causing them.ā
Zachary Baustein
Lead Product Analyst
200+
hours saved per month
20%+
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 weāre at the rate where weāre automating code reviews, or close to it, on 100 pull requests per month. And this is just the start.ā
John Lee
Director, Product Analytics
150+
pull requests checked by Datafold
2.3M+
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."
Ross Sevren
Director of Data Engineering
Learn more about data testing on our blog
Develop faster
without breaking data
Automated testing for data engineers
Donāt wait for stakeholders, monitoring tools, and customers to tell you about broken data.
Adopt a workflow that makes data quality issues a thing of the past.
Trusted by leading data teams, including
Automate proactive testing for all data transformations
Supercharge your
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workflows
with seamless dbt Cloud and Core integrations
See how every code change impacts data
Know exactly what will happen to data and data applications once the code is deployed, right in the pull request. Identify breaking changes, sudden metric shifts and edge cases before they do any damage to the business.
100%+
data accuracy & quality KPI achievement
90%+
faster testing and code review
100%+
of code changes tested before merging to production
āDatafold helps you find the hidden changes you didn't know you made to your data, helping you if theyāre unintended or understanding what's causing them.ā
Zachary Baustein
Lead Product Analyst
Make SQL code reviews a breeze
Stop guessing what this regex does or arguing if that CASE WHEN statement has correct logic. No more custom scripts and audit spreadsheets to fill.
200+
hours saved per month
20%+
increase in productivity
100+
pull requests automatically tested per month
"You can see right off the bat whether your data quality is what you were expecting, and reviewers can see it, too. Now weāre at the rate where weāre automating code reviews, or close to it, on 100 pull requests per month. And this is just the start.ā
John Lee
Director, Product Analytics
Create visibility & stakeholder trust
Stop surprising your data users with unexpected metric changes and broken dashboards. Easily share impact reports with everyone and give heads up before deploying the changes to production.
150+
pull requests checked by Datafold
2.3M+
total operations by Hightouch
0
Data Quality issues in Production
"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."
Ross Sevren
Director of Data Engineering
More building, less toil
Manual data testing is hard, tedious, and error-prone. Focus on what matters and not on writing boilerplate tests, custom scripts and filling out audit spreadsheets.
0
payment-related data incidents
75%+
reduction in QA time, at a higher level of accuracy
100%+
data confidence
āDatafold gives you the ability to QA things in a way that you could almost never do on your own. Itās like a booster shot...you get extra protection and security when you make changes.ā
Jonathan Talmi
Senior Data Platform Manager
Empower anyone to develop data
With full visibility into every change, everyone, not just data team, can Ā contribute, because testing and reviewing code is so easy!
3+
hours saved during the validation process for each new model
300+
models rebuilt and validated in Snowflake
750+
data team hours will have been saved once the migration is complete
"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."
Adam Underwood
Staff Analytics Engineer
Integrates with the modernĀ dataĀ stack
Integrations with the most used databases
Deploy and scale securely
Scale
Datafold scales to millions of tables, billions of columns and trillions of records
Security
Meeting the highest standards for data security and privacy protection
VPC Deployment
Deploy Datafold automatically and securely in your AWS or GCP account
Support
Get dedicated support from our team of expert data engineers
