From Databand:

• See trends & identify anomalies in your pipeline metadata
• Profile column statistics to manage expectations around your data
• Visualize data reads, writes, and lineage in the time series to understand the cause and impact of unreliable data

Get alerts on:

• Missing data deliveries
• Unexpected schema changes
• SLA misses
• Anomalies in column-level statistics like nulls and distributions
• Irregular data volumes and sizes
• Pipeline failures, inefficiencies, and errors

Some teams using Databand:

• Fanduel
• Oracle
• Shipper

Is this info helpful?

Is there something you think we should add? Reach out to the peer team that's working to build out StackWizard at astronaut@stackwizard.com.