GraphX is Apache Spark's API for graphs and graph-parallel computation. An important addition to that framework is graph technology, which is rapidly growing in popularity as it proves its value across an increasing array of use cases. Ana Castro demonstrates how to setup/install/deploy Hortonworks Data Platform (HDP) 3.0 sandbox using VirtualBox on macOS.Sandbox Deployment and Install Guid. Developers, Spark Apache Spark is a popular general-purpose cluster-computing framework.I am very curious about benchmark between nebula graph and dgraph. One of the advantage I saw in nebula graph is security role based access which is not available in dgraph until today. - geospatial features - good speed as it is based on badgerdb key value database and ristello cache library.The main advantage of implementing MLEM algorithm in Spark/GraphX is that it allows users to parallelize such computation without any expertise in parallel computing or prior knowledge in computer science. GraphX is a graph analytic system running on top of Spark to handle graph and sparse linear algebra operations in parallel.