Summary of the paper published in 2014 presenting GraphX, a distributed graph processing system that makes it possible to compose graphs with other collections by reducing the property graph to a pair of collections.

Summary of the article presenting GraphLab, a fault-tolerant system that provides a dynamic and asynchronous execution model for processing large-scale graphs.

Summary of the paper presenting Pregel, Google's system for processing large Graphs using a simple computational model while being designed for efficiency and fault-tolerant execution.

Summary of the paper presenting Tachyon, the distributed file system that enables reliable data sharing at memory speed.

Summary of the paper published by University of California Berkeley researchers, presenting RDD, a distributed memory abstraction for computations on large clusters.