Datafold
Automating critical data engineering workflows to help data teams ship high quality pipelines faster and with confidence
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Company intel
From the job board · LinkedIn data via posting sync- Industry
- Data Infrastructure and Analytics
- Company size
- 29 people
- Headquarters
- New York, NY
- Founded
- 2020
- Type
- Privately Held
- Total funding
- $26.2M
Datafold is the unified data quality platform that combines proactive, automated data testing and observability to help data teams prevent data quality issues and accelerate their development velocity. Unlike traditional data observability tools that focus on detection, Datafold integrates deeply into the development cycle, preventing bad code deploys and detecting issues upstream of the data warehouse. Datafold supports automated testing during deployment, migrations, and monitoring.
data
data quality
data engineering
data testing
dbt
data observability
databases
SQL
data diff
data monitoring
and data lineage
