Systems that prioritize consistency and partition tolerance guarantee that data remains consistent across nodes and can handle network failures. To better understand the implications of the CAP trade-offs, let's examine real-world examples of database systems that prioritize different combinations of Consistency, Availability, and Partition Tolerance. While the CAP Theorem provides a valuable framework for understanding the trade-offs in distributed database systems, it primarily focuses on the behavior of these systems during network partitions.