Accurate 3D data from indoor environments play a crucial role in construction, indoor navigation, real estate management, and many more applications. Mobile scanning systems, including simultaneous localization and mapping (SLAM) and mobile devices equipped with LIDAR (Light Detection And Ranging) and modern techniques like Matterport, provide efficient means to create virtual models of measured objects (and even generate point clouds). However, it is essential to note that the quality of these methods often needs to improve compared to the accuracy achieved by terrestrial laser scanning (TLS). Therefore, assessing results obtained from these systems is essential for utilizing them for 3D data capture. This paper evaluates the Matterport system using a 360-degree camera (Ricoh Theta Z1). The evaluation compares it to survey-grade Terrestrial Laser Scanning point clouds obtained from four distinct test sites, each with varying properties such as size, complexity, and noise levels. The analysis highlights both technical and practical strengths and weaknesses.