The World of Graph Databases from An Industry Perspective

Author:

Tian Yuanyuan1

Affiliation:

1. Gray Systems Lab, Microsoft

Abstract

Rapidly growing social networks and other graph data have created a high demand for graph technologies in the market. A plethora of graph databases, systems, and solutions have emerged, as a result. On the other hand, graph has long been a well studied area in the database research community. Despite the numerous surveys on various graph research topics, there is a lack of survey on graph technologies from an industry perspective. The purpose of this paper is to provide the research community with an industrial perspective on the graph database landscape, so that graph researcher can better understand the industry trend and the challenges that the industry is facing, and work on solutions to help address these problems.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

Reference58 articles.

1. Apache TinkerPop. http://http://tinkerpop.apache.org. Apache TinkerPop. http://http://tinkerpop.apache.org.

2. GQL. https://www.gqlstandards.org. GQL. https://www.gqlstandards.org.

3. Graph500. https://graph500.org. Graph500. https://graph500.org.

4. GSQL. https://www.tigergraph.com/gsql. GSQL. https://www.tigergraph.com/gsql.

5. LinkBench: A database benchmark for the social graph. https://www.facebook.com/notes/facebook-engineering/ linkbench-a-database-benchmark-for-the-social-graph/ 10151391496443920. LinkBench: A database benchmark for the social graph. https://www.facebook.com/notes/facebook-engineering/ linkbench-a-database-benchmark-for-the-social-graph/ 10151391496443920.

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