Job Monitoring

In-depth data quality monitoring with Databand.

Through integration with your pipelines and infrastructure, Databand provides monitoring for SLAs, data quality metrics, and overall reliability.

You can use Databand to monitor pipelines of any size or complexity, across multiple orchestration systems. For example, Databand can centrally monitor DAGs across any number of orchestrator (ie. Airflow) instances, providing you a single pane of glass for all pipeline operations.

Databand's Sync Monitor page showing multiple Airflows being trackedDataband's Sync Monitor page showing multiple Airflows being tracked

Databand's Sync Monitor page showing multiple Airflows being tracked

You can click into a pipeline to see metric information and trends from that particular DAG, or click into an individual run of a pipeline to drill into the details of specific execution, and understand exactly where failures are coming from and how metrics are being reported from specific tasks, functions, or jobs in your pipeline.

The Run Details page in the Databand UI, showing an error log from a Spark task within a DAG.The Run Details page in the Databand UI, showing an error log from a Spark task within a DAG.

The Run Details page in the Databand UI, showing an error log from a Spark task within a DAG.


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