Data observability tools enable organizations to understand the state and health of their data, data pipelines, data landscapes, and data infrastructures, as well as the associated financial costs, across distributed environments. This is accomplished by continuously monitoring, detecting, alerting, analyzing, and troubleshooting data workflows to identify and resolve issues, thereby reducing and preventing data issues and system downtime. The tools also provide information on data lineage, collaborations, and incident management. They go beyond traditional network or application monitoring by enabling users to observe changes, discover unknown issues, and take appropriate actions to deliver reliable data and prevent business interruption.