They store objects as ‘nodes’ in a graph. While relational databases store information in rigid tables, graph databases are more intuitive. They’re particularly good for looking at indirect relationships between distantly connected datapoints. Graph databases are great for uncovering insights about complex relationships within large datasets. When Graph Databases Beat Relational Ones Meanwhile, Nike Run Club uses one to connect people who use its app based on shared interests and Siemens has developed a ‘knowledge graph’ for organizing information about its industrial equipment.įorward-thinking data leaders should now be considering whether there are similar use cases that could see graph databases being put to good use within their organizations. Thomson Reuters already uses a graph database to help its customers analyze their global tax obligations and optimize their corporate financial structures. Gartner now predicts that the application of graph technologies will double annually through 2022. But interest in graphs has since snowballed. Intelligent search is another category where we’re leveraging graph databases for data discovery across our product lifecycle.”Ī 2017 Dataversity survey found that 22.6% of data professionals planned to use graph databases in the future. “Graph technologies are being heavily explored for things like data search indexing. “It’s about using the right tool for the right job,” adds Lockheed Martin Space CDAO Tobin Thomas. “It’s about using the right tool for the right job” Tobin Thomas, CDAO, Lockheed Martin Space “They’re another storage mechanism that’s super-fast and non-relational.” “Something we’re looking at right now, which makes for incredibly fast performance, is a graph database,” explains Romy Hussain, Senior Director of Healthcare Economics and Data Science at Johns Hopkins Healthcare. As a result, enterprises including eBay, Johns Hopkins Healthcare and Lockheed Martin Space are looking to graph databases to enable a wide range of advanced data-driven capabilities. Much like NoSQL before them, graph databases boast a number of advantages over relational databases. The buzz around the technology has been on the rise since 2018, when AWS unveiled its Neptune database, signaling its mainstream potential to the business world. Graph databases are quickly becoming the ‘exciting new thing’ in the world of data architecture. With Gartner predicting that the application of graph analytics will double annually through 2022, we explore why graph database adoption is on the rise
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