The 'SQL' tab provides a detailed breakdown of the cluster's resource usage, including CPU and memory metrics, enabling the engineer to adjust resource allocation for optimal performance.

The 'SQL' tab lists all executed SQL queries along with their execution times, allowing the engineer to pinpoint slow queries and rewrite them for better performance.

The 'SQL' tab displays the physical and logical execution plans of SQL queries, offering the engineer insights into potential inefficiencies in query execution that can be addressed through optimization techniques such as query rewriting or index creation.

The 'SQL' tab shows the distribution of tasks across the cluster, helping the engineer to identify and resolve data skew issues that may be affecting query performance.