column-level lineage
Plug and play column-level lineage in your modern data stack



See exactly where your data is coming from and going toin seconds
Get big picture perspective and granular understanding
Used in production by the most data-driven companies






fast DATA Diagnosis
Troubleshoot in seconds, not hours
āNot just as a data leader, column-level lineage gives confidence in the whole system. If my stakeholders ask āwhy is this dashboard out of date?ā I can answer in 25 seconds instead of digging through PRs for hours.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.ā
Maura Church
Director of Data Science


Easy to trace upstream and downstream
Intuitive UX across unlimited columns
Use a seamless UI to switch from table to column-level lineage, hone in on the columns you need to see, or dive into the SQL code that determines how the data flows. See across your data pipeline at the most granular level, whether accessing tens, hundreds, or thousands of tables.
Bring Your Own Lineage
Take lineage with you with a GraphQLĀ API
Enjoy Datafold's UI or plug column-level lineage in your data catalog of choice. Our GraphQLĀ API makes it easy to integrate with Amundsen &Ā Data Hub.

Data Pipeline Understanding
Keep the right person in the loop and avoid nasty surprises
With column-level lineage you can see exactly how your changes could impact upstream or downstream tables or dashboards. Know exactly which stakeholders to inform about potential shifts.
use cases
Build confidently with column-level lineage
Pipeline exploration
ā
Easily trace upstream & downstream dependencies for any dataset in your warehouse.
Visualize and explore how data flows through the pipeline.
Impact analysis for data migrations
Identify all the tables and columns that must be migrated or deprecated and which affected downstream teams should be alerted.
Monitor adoption of the post-migration pipelines.
Save time, reduce cost, & avoid risk in large data-migration projects.
Data catalog
ā
Ensure data privacy by tracking columns that contain PII data throughout the pipeline.
Understand where the tables derive their data from in minutes with a birdās eye view of table linkages.