Datafold

Datafold

Unified data quality platform for testing

About

Datafold provides a platform that focuses on maintaining high data quality through proactive and automated testing. The platform works by integrating into the development cycle, allowing data teams to test their data at various stages, such as during code deployments and migrations, to catch potential issues before they affect the data warehouse. This approach helps prevent bad code from being deployed and ensures that data remains reliable and accurate. Unlike traditional tools that only detect problems after they occur, Datafold emphasizes prevention and continuous monitoring. The goal of Datafold is to support data teams across different industries by offering tools that enhance data integrity and speed up development processes, all through a subscription-based service.

Company Stage

Series A

Employees

11-50

Industries

Data & Analytics, Enterprise Software

Total Funding

$21.7M

Headquarters

N/A

Founded

2020


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Simplify's Take

What believers are saying

  • Datafold's recent $20M Series A funding round indicates strong investor confidence and provides resources for further innovation and growth.
  • The open-source diffing tool and integration with dbt Labs position Datafold as a leader in data quality and reliability, attracting top-tier clients and talent.
  • The company's commitment to addressing data downtime issues can significantly improve operational efficiency and decision-making for its clients.

What critics are saying

  • The competitive landscape in data reliability and observability is intense, with established players like Monte Carlo posing significant challenges.
  • Rapid scaling and integration of new features may lead to technical debt and potential service disruptions.

What makes Datafold unique

  • Datafold's focus on data reliability and quality, particularly through open-source tools, sets it apart in a market where data downtime is a growing concern.
  • Their integration with dbt Labs allows for seamless regression testing and data validation, enhancing the efficiency of analytics engineers.
  • The launch of a free-tier and transparent cloud pricing model makes Datafold accessible to a broader range of users, from startups to large enterprises.

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Growth & Insights
Headcount

6 month growth

3%

1 year growth

3%

2 year growth

-8%

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