What problem does it solve?
Trace downstream data lineage and impact analysis to answer questions like what depends on this data, what breaks if it changes, and which assets rely on it. This helps data teams assess risk and prioritize changes before touching production tables, DAGs, or dashboards.
Core Features & Use Cases
- Identify direct consumers across tables, DAGs, and dashboards using a complete downstream view.
- Build a dependency tree that maps downstream assets and their relationships.
- Categorize change risk by criticality to surface owners and trigger appropriate approvals.
- Guidance for typical workflows like changing a table schema, updating a DAG, or modifying a data pipeline, with stakeholder recommendations.
Quick Start
Begin by examining the target's direct consumers, then expand to downstream dependencies to complete the blast radius picture. Review DAGs, dashboards, and BI jobs that read from the target. Use this to decide safe change windows and stakeholder communications.