IBM Data Observability by Databand
An observability software for data pipelines and warehouses that automatically collects metadata to build historical baselines, detect anomalies and triage alerts to remediate data quality issues.
ExploreProduct Description
Overview
IBM Databand is an observability software for data pipelines and warehouses that automatically collects metadata to build historical baselines, detect anomalies and triage alerts to remediate data quality issues.
How it works:
Collect: Databand automatically collects metadata to gain immediate visibility, so data platform teams have a standard method for customized data quality validations.
Baseline: Next, Databand builds historical baselines based on common run and data behaviors, essentially profiling the data pipeline landscape.
Alert: Once the historical baseline is established, Databand alerts on anomalies and rules based on deviations relative to the profile and/or rule breaches.
Remediate: Lastly, Databand allows you to create smart communication workflows to remediate data quality issues and keep data deliveries on track.
Highlights
To go from simply observing data incidents to resolving them fast, IBM Databand provides single-pane-of-glass data incident management
To catch data process, pipeline errors and bad data quality issues sooner, IBM Databand provides unified, centralized data pipeline and warehouse monitoring
To remove bad data surprises from your data pipelines and datasets, IBM Databand delivers automatic anomaly detection, end-to-end data lineage and impact analysis