
Datafold
Home | Quality assurance & monitoring for analytical data.
Date | Investors | Amount | Round |
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- | investor investor investor investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor investor | €0.0 | round | |
* | N/A | $4.0m Valuation: $100m | Early VC |
Total Funding | 000k |
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Datafold operates as a unified data quality platform, focusing on proactive and automated data testing and observability. The platform is designed to help data teams prevent data quality issues and enhance their development speed. Unlike traditional data observability tools that primarily focus on detection, Datafold integrates deeply into the development cycle, preventing bad code deployments and identifying issues before they reach the data warehouse. The platform supports automated testing during various stages such as deployment, migrations, and ongoing monitoring. Datafold serves data teams across various industries, providing them with tools to ensure data integrity and reliability. The business model revolves around offering a subscription-based service, generating revenue through recurring payments from its clients.
Keywords: data quality, automated testing, observability, development cycle, data teams, code deployment, data warehouse, migrations, monitoring, subscription-based.