Data observability is an approach that enables monitoring, detection, prediction, prevention, and resolution of problems across infrastructure, data, and application layers in real-time. Unlike APM tools, which mainly focus on the application layer, data observability platforms extend monitoring capabilities all the way down to the data and infrastructure layers. This helps improve control over data pipelines, create better SLAs, and provide insights for making better data-driven business decisions. Data observability solutions offer clear advantages over APM tools in terms of providing more control over data pipelines, improving infrastructure layer observability, and enabling automatic collection and correlation of pipeline events to identify anomalies or spikes.