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Data quality and testing for data teams
Datafold is a data quality platform that helps data teams catch data issues before they reach production through data diffing, column-level lineage, and automated testing in CI. Its data diff compares datasets across environments and code changes to reveal exactly how data will change, its lineage traces impact across the pipeline, and its CI integration blocks breaking changes, bringing software-engineering-style testing to data workflows.
Datafold is used by data engineering and analytics engineering teams that want to prevent data quality regressions when changing SQL, dbt models, or pipelines. Its diffing surfaces unintended changes before merge, its lineage shows downstream impact, and its automation fits modern data CI/CD. For teams practicing reliable, tested data development, Datafold provides proactive quality tooling.
Pricing Model
PAID
Starting Price
Contact vendor
Free Options
Free version, Free trial
| Feature | Free | Cloud Popular |
|---|---|---|
| Open-source data diff | — | |
| Basic lineage | — | |
| CLI | — | |
| Limited usage | — | |
| Community support | — | |
| Column-level lineage | — | |
| CI data testing | — | |
| dbt integration | — | |
| Impact analysis | — | |
| Priority support | — |
Other
DevOps
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API Types
SDK Availability
Verify SDK availability in vendor's documentation.
Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
Data transformation and analytics engineering with SQL
