Hi, I am exploring GraphX library and trying to determine which usecases make most sense for/with it. From what I initially thought, it looked like GraphX could be applied to data stored in RDBMSs as Spark could translate the relational data into graphical representation. However, there seems to be no conversation and everything presented in GraphX implementations AFAIK, works on vertices and edges. So does it mean that GraphX is only relevant when the backend is a GDBMS?
Does this "We introduce GraphX, which combines the advantages of both data-parallel and graph-parallel systems by efficiently expressing graph computation within the Spark data-parallel framework. We leverage new ideas in distributed graph representation to efficiently distribute graphs as tabular data-structures. Similarly, we leverage advances in data-flow systems to exploit in-memory computation and fault-tolerance." mean that GraphX makes the typical RDBMS operations possible even when the data is persisted in a GDBMS and not viceversa? regards Sunita
