A Comparative Study of Graph Processing Tools: Pregel & Apache Giraph

Abstract

Most of the practical computing problems are concerned with large graphs. The analysis of large graph provides valuable insights for social networking and web companies in content ranking. A large number of graph processing systems have been developed and evaluated. These graphs have a scale of billions of vertices and trillions of edges. The different frameworks for network analysis are–Apache Giraph, Neo4j, Apache Giraph++, Apache Flink, Pregel etc. These all frameworks are suited for the distributed network and based on the bulk synchronization algorithm. In this paper, we describe the two network analysis tools-pregel and apache giraph.

Keywords: Pregel, Apache Giraph, bulk synchronization algorithm, distributed computing.