The injection of fluid into a vacuum can be simulated with different simulation architectures. This thesis tries to establish a link between particle and grid-based simulations based on the fluid droplets formed in such simulations. For this, a shared data representation is introduced, which enables the use of the same analysis and visualization methods for either particle or grid-based data. As such, techniques were implemented to extract droplets and their corresponding descriptions from the simulation data. Moreover, these droplets are also tracked over time to capture their evolution throughout the simulation. The resulting droplets and their trajectories are then visualized in a way that showcases their behavior across the entire simulation time. These methods were implemented as generalized MegaMol modules and are available for further use as open source software. Furthermore, the droplet trajectories and the interactions between them were analyzed for a sample particle simulation. This is done once in a standalone manner and once in a comparison between grid and particle based data. The comparison was performed by creating grid data from particle data and applying the tracking and analysis techniques to both, to test if the results are comparable. It was found that the comparison between two different simulation architectures is possible, but still poses some challenges when trying to relate the extracted droplet behavior.