
Data Observability for Data Engineers
Databand is a data observability platform focused on helping data engineering teams maintain pipeline reliability and data quality. Now part of IBM, the platform offers proactive monitoring and incident detection capabilities designed for enterprise-scale data operations.

Databand is a data observability platform that empowers data engineering teams to proactively monitor, detect, and resolve data pipeline issues before they impact downstream operations. Founded to address the growing complexity of modern data infrastructure, Databand provides comprehensive visibility into data pipelines and machine learning workflows, enabling organizations to maintain data reliability at scale. The platform offers automated monitoring capabilities that track data quality, pipeline health, and data delivery across the entire data stack. By providing early detection of anomalies, schema changes, and data freshness issues, Databand helps teams reduce incident response times and prevent data downtime. The company was acquired by IBM in 2022, further strengthening its position in the enterprise data management space. Databand serves data-driven organizations seeking to establish trust in their data assets and streamline their data operations. Their solution integrates with popular data tools and platforms, making it accessible for teams working with diverse technology stacks while maintaining centralized observability across all data workflows.