Goodbye, data doubt.
Reduce the number of data quality incidents that make it into production by 10x.
Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds.
Save hours spent on trying to understand data. Use the Data Catalog to find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling, and consolidation of metadata in one place.
"Datafold makes it a lot easier to understand the impact of your change on downstream data. The tool is super easy to use and does a great job highlighting exactly where there are differences in your data in a digestible way."
“Datafold's column-level lineage gives confidence in the whole system. If my stakeholders ask “why is this dashboard out of date?” I can answer in 25 seconds instead of digging through pull requests for hours. As a product owner, I can understand how the rest of the company makes decisions based on the data we produce. It brings data confidence and visibility to the company.”
“When everything is correct, Datafold clearly saves time on testing; but when something is wrong or there’s an error, it saves unimaginable amounts of time that would go into finding and fixing bad data.”
"While Datafold is still young and the tool is in its early stage, the foundation of the business is super sound. The core platform is so valuable. Datafold is solving a problem that no one else is trying to solve."
"Datafold is a game-changer— there is so much value in actually understanding the effect of your pull request. It gives me the confidence that my code does what I expect it to do."
DATA QUALITY MEETUP
Join data leaders, engineers, scientists, and product builders as they share best practices for data quality, governance & productivity.