Summary of Datafold 1) What it does: Datafold is a platform for data quality that combines automated testing and observability to prevent data problems. It helps data teams make sure data is correct and reliable by catching issues before they affect the data warehouse. 2) How the product works: Datafold plugs into the data development cycle and runs automated tests during key moments—deployments, migrations, and ongoing monitoring. This setup checks data pipelines and code changes for correctness and flags issues early, so bad deployments don’t reach the warehouse. 3) How it stands out: Unlike tools that mainly detect problems after they happen, Datafold focuses on preventing issues by integrating testing into the development process. It targets data teams across industries and uses a subscription model for ongoing access. 4) The goal: To improve data integrity and development speed by stopping data quality problems before they reach production data warehouses.
Company Size
11-50
Company Stage
Early VC
Total Funding
$26.2M
Headquarters
New York City, New York
Founded
2020
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