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Graph Technologies Back to Top
Analysis by: Moutusi Sau, Alys Woodward, Robin Schumacher, Sharat Menon, Jim Hare
Description: The term “graph technologies” refers to graph data management and analytics techniques, which enable the exploration of highly connected data, specifically, the relationships between entities such as organizations, people or transactions. Analyzing relationship data can require a large volume of heterogeneous data, storage and analysis — all of which is not well-suited to relational databases. Graph analytics consist of models that determine the “connectedness” across data points. These range from simple node, edge traversal and triple pattern matching for transactional uses, to complex multihop queries, reasoning and inference, and algorithms for analytical workloads.
Gartner, Inc. | G00786204
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This research note is restricted to the personal use of abhishek.sharma@fractal.ai.
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