What Databand Data Quality does
Databand is an observability platform that helps data engineers and data teams troubleshoot pipeline failures and data quality issues. It monitors end-to-end data flow and the pipeline development lifecycle, from pipelines through the data lake to the warehouse. Named features include comparing pipeline changes from development to production, tracking how pipeline errors cause data quality issues, monitoring likely SLA misses, and measuring cost and resource spikes. For the data lake, it monitors data freshness, identifies resource bottlenecks, tracks data lineage, and alerts on changes in data size, schemas, distributions, and custom metrics. It integrates with Apache Airflow and Apache Spark without changes to existing pipeline code. The page does not state a pricing model and offers a free trial or a demo.
How Databand Data Quality compares with its closest alternatives
2 of the 5 closest alternatives have a free plan; Databand Data Quality does not. All 5 offer an API, as Databand Data Quality does. Databand Data Quality offers a web app. Of the alternatives, all 5 offer a web app. Databand Data Quality was founded in 2019; the alternatives were founded between 2010 and 2020, 3 of them earlier. The alternatives with a known headquarters are in the United States.