As noted in previous sections, GraphFrames are built on top of two DataFrames: one for vertices and one for edges. This simply means that GraphFrames take advantage of the same performance optimizations as DataFrames (unlike the older GraphX). Just as importantly, they also take on many components of the Spark SQL syntax.