Spark and GraphX do not provide any built-in functionality for data visualization, since their focus is on data processing. However, pictures are worth than thousands of numbers when it comes to data analysis. In the following sections, we will build a Spark application for visualizing and analyzing the connectedness of graphs. We will rely on the third-party library called GraphStream for drawing networks, and BreezeViz for plotting structural properties of graphs, such as degree distribution. These libraries are not perfect and have limitations but they are relatively stable and simple to use. So, we will use them for exploring the graph examples that are used in this chapter.