Automated
testing for
data engineers
At every stage of your data workflow — from migration to deployment — uncover data quality issues before they happen through data diffing, column-level lineage, and CI testing.
Loved by data teams who don’t compromise on data quality
Develop faster
without breaking data
Automated testing for data engineers
Don’t 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
“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.”
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 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.”
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
“Datafold gives you the ability to QA things in a way that you could almost never do on your own. It’s like a booster shot...you get extra protection and security when you make changes.”
Jonathan Talmi
Senior Data Platform Manager
Empower anyone to develop data
With full visibility into every change, everyone, not just data team, can 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 modern data 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
