Balanced POD is a data-based model reduction algorithm that has been widely used for linearized fluid flows and other linear PDE systems with inputs and outputs. We discuss recent work on balanced POD for such systems, including the case of unbounded input and output operators as can occur when control actuators and sensors are located on the boundary of the physical domain. We also discuss challenges for model reduction of linear and nonlinear PDE systems.