Trinity Graph Engine and its Applications

Big data become increasingly connected along with the rapid growth in data volume. Connected data are naturally represented as graphs and they play an indispensable role in a wide range of application domains. Graph processing at scale, however, is facing challenges at all levels, ranging from system architectures to programming models. Trinity Graph Engine is an open-source distributed in-memory data processing engine, underpinned by a strongly-typed in-memory key-value store and a general distributed computation engine. Trinity is designed as a general-purpose graph processing engine with a special focus on real-time large-scale graph query processing. Trinity excels at handling a massive number of in-memory objects and complex data with large and complex schemas. We use Trinity to serve real-time queries for many real-life big graphs such as Microsoft Knowledge Graph and Microsoft Academic Graph. In this paper, we present the system design of Trinity Graph Engine and its real-life applications.