Coralogix, a company specializing in observability solutions, highlights the challenges of understanding system performance through tracing, which allows engineers to follow requests in distributed systems but often lacks contextual analysis. To address this, Coralogix introduces DataPrime, a tool designed to provide comparative span analysis by evaluating spans against historical baselines to detect anomalies and performance changes. DataPrime allows engineers to dynamically analyze spans, correlate them with logs and events, and classify performance deviations, providing insights beyond traditional tracing methods. This approach empowers engineers to quickly identify and investigate performance issues, transforming observability data into actionable insights. DataPrime's flexibility and capabilities in handling real-time, dynamic data make it a powerful tool for modern observability, as demonstrated by its successful implementation in high-traffic API environments.