Data lineage software
Data lineage software for warehouse change impact
OQEN helps data teams answer dependency and impact questions before schema changes, migrations, and redesign work. Recommendations stay advisory and human-reviewed.
Lineage that exists to answer one question: what breaks if this changes?
OQEN is a data warehouse impact analysis platform. See trusted SQL lineage and the likely blast radius of schema changes before you commit to change.
Instead of cataloging everything, OQEN reconstructs the dependency picture around a change you are about to make — from warehouse metadata and from the SQL and Python pipeline logic that actually moves the data.
What you can check before a change
- Reconstruct one view across schemas, SQL, DAGs, and Python ETL so teams stop spelunking before every change.
- Answer lineage and impact questions before redesign, migration, or schema change commitments.
- Keep guidance cited, advisory, and human-reviewed so architects, platform leads, and reviewers can approve change with context.
How it works
- Capture the warehouse metadata and workflow logic behind the change.
- Create one view of dependencies, transformations, and likely blast radius.
- Use AI-assisted explanations and design options as advisory input, not auto-applied change.
Where OQEN fits — and where it does not
A strong fit when
- OQEN is built for teams changing a live warehouse: schema changes, migrations, and model redesigns where downstream dependencies are unclear.
- It is most useful when pipeline logic lives in SQL and Python — including SQL embedded in scripts and DAGs — rather than in one clean, documented layer.
Not the right tool when
- OQEN is not a data catalog and not a governance suite. If you only need a static inventory of tables and owners, a catalog is the better tool.
- If you already trust your cross-source lineage and change risk is low, you may not need a dedicated impact-analysis step.
These targets are measured in a scoped pilot against your current baseline, then reviewed with your delivery team before rollout.
- ≥ 30%Target reduction in redesign decision cycle time
- ≥ 0.90Target blast-radius prediction accuracy
- Scoped pilotOne blocked redesign decision to validate
Start with one blocked redesign decision.
Paste a pipeline snippet in the self-serve workspace, or bring one active change to a guided demo.