Column-Level Lineage

Enterprise Cloud Feature

What is it?

View of how columns are used across a dbt project, from sources to downstream models.

Simple Explainer

Going a level deeper than table lineage - how are specific column values derived? At what step in the process was the data manipulated? Where is this column exposed to my end users?

What Functional Requirement Does it Satisfy?

Data Pipeline Visibility / Dependency Management (Column-level)

How it Reduces Cost

By understanding how data is used throughout the pipeline, teams can identify opportunities for efficiency (pruning unused columns) and mitigate the risk of downstream breakages (impact analysis).

How it Helps Data Teams Ship Faster

The auto-generated column lineage helps teams avoid having to manually pour over SQL code to trace where columns come from and how they're used, so they can focus on development or incident resolution.

How it Helps Orgs Build Trust in Data and Teams

Root-causing data issues by granularly tracing them back to the source helps teams resolve issues more promptly and thoroughly.