The World of Graph Databases from An Industry Perspective
Yuanyuan Tian

TL;DR
This paper provides an industry perspective on the rapidly evolving landscape of graph databases, highlighting current trends, challenges, and the gap between research and industry needs.
Contribution
It offers a comprehensive survey of graph technologies from an industry perspective, bridging the gap between academic research and practical applications.
Findings
Growth of graph databases driven by social networks
Industry faces challenges in scalability and integration
Research community needs to address real-world industry problems
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.
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Taxonomy
TopicsGraph Theory and Algorithms · Advanced Database Systems and Queries · Web Data Mining and Analysis
