Datafold

Datafold

Datafold is an automated data quality platform designed to maximize productivity for data engineering teams.

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Overview

Datafold is an automated data quality platform designed to maximize productivity for data engineering teams. It supports completing data platform migrations in weeks rather than years and analyzes the impact of developed code on production environments to prevent data quality issues. Specifically, it offers data diff functionality to automatically compare differences between development and production environments, visualizing the ripple effects of code changes. It also runs tests automatically when Pull Requests are created to speed up code reviews and enables complete control over data flow through column-level lineage tracking. Through these features, system integrators, technology partners, and data engineers are freed from repetitive manual validation tasks to focus on high-value work. Pricing is offered on a customized basis based on team size and table scale, with flexible deployment options like multi-tenant SaaS or dedicated VPC to meet security requirements.

Key features

  • Automated data platform migrations
  • Data diffing between dev and production
  • Automated testing on Pull Requests
  • Column-level data lineage

Pricing

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Verified on:

Use cases

  • Accelerating data platform migrations
  • Preventing bad code deploys
  • Validating data changes in development

Who it is for

Data engineersSIs

Integrations

dbtSnowflakeBigQueryDatabricksAirflowGitHubFivetranAirbyte

Tags

API

How we verified this

Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.

Last verified 09/02/2026Verified sources: 5

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