End-to-end data lineage helps you understand the impact of data incidents on upstream and downstream data flows.
Break siloes and get the whole data story
with end-to-end data lineage.
Benefits of end-to-end data lineage.
Save engineering time
Save debugging time by automatically knowing what processes were impacted by the incident.
360 visibility
Clearly understand what pipelines and datasets are at risk of consuming corrupted data.
Focus on what matters
Prioritize data incidents better by knowing which alert is causing the most corruption downstream.
Stop guessing.
Instantly know impacted pipelines.
Databand provides automated data lineage so you can easily diagnose pipeline failures and analyze downstream impacts. This removes manually created lineage and the guesswork of which pipelines are impacted.
- Visualize dependent relationships impacted from pipeline failures.
- Highlight specific downstream datasets or tasks are impacted.
ON-DEMAND WEBINAR
Go beyond the pretty graphs and see how end-to-end lineage drives better actions.
Visualize impact.
Quickly debug data incidents.
Data lineage makes it easier to debug your data incidents directly from a lineage view. Highlight the impacted data set or operation to jump directly to a task from the data lineage graph.
- Jump directly to a task from the data lineage graph.
- See which error in the pipeline DAG caused the pipeline to fail.
How it works.
Pretty graphs without actions don’t help you. With Databand’s data lineage, you can quickly alert, visualize the impact, and resolve data incidents fast.
