IBM Databand

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.

Pillars of Databand

Explore Databand's feature suite, designed to elevate data pipeline observability through automation and intelligence.

Data incident management

Quickly resolve data incidents with Databand. Manage everything from a single dashboard, enabling you to see, respond and resolve issues without delay.

Data pipeline monitoring

Detect and manage missing operations, failed jobs and run durations with Databand. Handle pipeline growth and avoid surprises, regardless of scale.

Data quality monitoring

Regain your data team's confidence with Databand. Monitor and alert on data SLAs, unexpected column changes and null records before they impact your consumers.

Data anomaly detection

Identify data incidents early. Databand automates anomaly detection, alerting you to delays and unexpected changes.

Data lineage and impact analysis

Break silos and see the full data story with end-to-end lineage. Databand’s tools help you understand data incident impacts on all flows.

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.

Read the case study

Detail of hexadecimal programming code on a computer monitor, showing letters and numbers like an encrypted data stream, arranged as a regular pattern on a blue background with squared grid. Selective focus with depth of field effect. Hexadecimal code is a numeral system with base 16, using numbers from 0 to 9 and letters from A to F. Random generated code.

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%.

Find out how