To quickly pinpoint impacted upstream and downstream data processes, IBM® Databand® features end-to-end data lineage and impact analysis.
When a data issue happens, it’s rarely an isolated incident. The adverse effects cascade to dependent pipelines, datasets and interconnected operations. Pretty graphs without actions don’t help. And manually tracing data lineage can be an overly time-consuming and complex process.
IBM Databand’s end-to-end data lineage and impact analysis gives you the full story of your data as it moves. By showing you the connected parts of your data stack, you can quickly understand the impact of data incidents on upstream and downstream data flows.
By automatically knowing what processes were impacted by the incident, Databand frees up engineers’ time so they can focus on higher priority tasks.
Armed with the knowledge of which problems are causing the most corruption downstream, Databand enables better prioritization of data incidents.
By providing clear information around the data’s origin and how it has moved and changed along the way, Databand instills confidence in how and where it’s used.
Databand integrates with the data pipeline and integration tools you already use and love, like Apache Airflow and IBM® DataStage®, for continuous data observability across your data fabric and modern data stack.