IBM Databand
Deliver trustworthy and reliable data with continuous data observability
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Metadata-driven data observability

IBM® Databand® is 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.

Better Together: Data Quality and Data Observability

Keeping your data reliable

1. Collect: Databand automatically collects metadata to gain immediate visibility, so data platform teams have a standard method for customized data quality validations.

2. Baseline: Next, Databand builds historical baselines based on common run and data behaviors, essentially profiling the data pipeline landscape.

3. Alert: After the historical baseline is established, Databand alerts on anomalies and/or rule breaches based on deviations from the established profile.

4. Remediate: Lastly, Databand allows you to create smart communication workflows to remediate data quality issues and keep data deliveries on track.

Case studies

Autodesk

Learn how the seamless integration of IBM Databand with Autodesk’s modern data stack detects changes in source systems and provide real-time alerts in the event of workflow failures.

IBM Chief Data Office

Learn how the IBM Chief Data Office (CDO) taps into the power of IBM Databand to navigate data pipeline complexity and reduce the time to create daily health reports by 93%. 

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Take the next step

Implement proactive data observability with IBM Databand today so you can know when there’s a data health issue before your users do.

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Learn more about data integration New features available in IBM data integration Read the 2024 Gartner® Market Guide for Data Observability Tools