Data visualization is a key component in a variety of high-impact fields: medicine, engineering, architectural design, intelligence, and many others. Current sensors used in these fields record multi-dimensional data sets, such as light detection and ranging (LiDAR) sensors, magnetic resonance imaging systems (MRI), and three-dimensional (3D) cameras. While these communities have a plethora of sensors to create data sets, the visualization of these data sets is lacking. The most common display modality is two-dimensional (2D), despite having data sets representing 3D geometries. Furthermore, additional dimensions such as time or a force measurement must be displayed in many situations. When using a 2D display, these additional dimensions must be compressed, or they are simply not displayed. The use of a 3D display alleviates many of these issues, by presenting the additional dimension naturally. A number of 3D display modalities are present in the market, with various strengths and weaknesses inherent in their designs. In this study, we compare a commercial 3D television which is a time-multiplexed stereoscopic display and an autostereoscopic holographic display. Participants in the study completed two tasks: a medical task and a tactical task. The tasks required them to identify certain landmarks in each data set, such as the tallest building or a particular anatomical structure. After the tasks, researchers gathered data on usability, visual perception, and cognitive load using the displays. Performance metrics for the medical and tactical task were also collected. The paper reports the study results and discusses the merits of the 3D display modalities, including recommendations of suitable use cases for both.