 Graph DBMS are designed to model and explore relationships in data in a way not efficiently possible in other types of DBMS (including relational systems). The demand for a graph data model often comes from use cases like analysis of social relationships, identity and access management, online product and service recommendations, network and device management (buzzword: Internet of Things) and financial fraud detection. The analysts of Forrester Research recently reported that Graph DBMS will reach over 25 percent of all enterprises by 2017 (source: TechRadar: Enterprise DBMS, Q1 2014. Forrester Research.) Graph DBMS as Service providers, like LinkedData.Center are ready to support developers and data scientist in this technology breakthrough filling the gap that today exists from graph database engine technology and the use of linked (open) data in applications. |
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