Databand’s proactive data observability platform helps you monitor and control your data’s quality, even when you can’t control your sources.
View run details, error logs, critical alerts, and runtime states from all your data tasks.
When issues occur, drill into the source of errors or data corruption across your pipeline.
Identify when anomalous durations or failures cause late data deliveries and missed SLAs.
Gain insights into data reliability and quality under one roof. Databand’s data observability platform provides a central place to define and receive alerts around data incidents. This way you can rapidly detect, alert, and resolve incidents without jumping from screen to screen.
Databand helps you see how data incidents impact your upstream and downstream data processes with end-to-end data lineage.
Connect your data processes and pipelines to detect missing operations, failed jobs, and run durations earlier with Databand’s data observability platform.
Ensure better data quality by monitoring data SLAs, unexpected column changes, and null records before they get to the warehouse.
Databand automatically monitors the health of our Airflow pipelines so we spend less time debugging, and more time building ML models. Before Databand, 60% of our pipelines had at least one data incident. Now less than 1% of pipelines have incidents. This resulted in a 3X increase in our customers since we can now manage our ML deep learning models at scale.
Databand helps us detect data quality issues faster so we can meet our data SLAs. Without Databand, we didn’t know we had problems until two or three days later – forcing us to backfill the data.
Databand is helping us achieve better pipeline reliability and higher velocity releases for our data products. The platform saves our team a lot of troubleshooting time by providing one holistic view for job monitoring and dependencies so that everyone can see what’s happening in our pipelines.
See how Databand can transform data observability at your organization today.