Graph is an abstract data structure that has high expressive power. Many real-life applications can be modeled by graphs, including biological networks, semantic web and social networks. Thus, a graph engine is important to many applications. Currently, there are several players in this field, including Neo4j, HyperGraphDB, InfiniteGraph, etc. Neo4j is a disk-based transactional graph database. HyperGraphDB is based on key/value pair store Berkeley DB. InfiniteGraph is a distributed system for large graph data analysis. In 2009, Google announced Pregel as its large scale graph processing platform. Pregel is a batch system, and it does not support online query processing or graph serving.
What is Trinity?
Trinity is a graph database and graph computation platform over distributed memory cloud. At the heart of Trinity is a distributed RAM-based key-value store. As an all-in-memory key-value store, Trinity provides fast random data access. This feature naturally makes Trinity suitable for large graph processing. Trinity is a graph database from the perspective of data management. It is a parallel graph computation platform from the perspective of graph analytics. As a database, it provides features such as data indexing, concurrent query processing, concurrency control. As a computation platform, it provides vertex-based parallel graph computation on large scale graphs.
Via Dorai Thodla, Sudhir Kumar