YOUR GO-TO INTELLIGENCE RESOURCE FOR THE SCHOLARLY PUBLISHING INDUSTRY

A graph database, in terms of functionality, flexibility, and cost has tremendous potential. The databases use graph structures to represent and store data. Besides being visual and interactive, graph databases are projected as one of the most powerful analytical tools available in the market today. Businesses are leveraging these capabilities to visualize the relationships between skills, knowledge, expertise, and business outputs.
A graph database, in terms of functionality, flexibility, and cost has tremendous potential. The databases use graph structures to represent and store data. Besides being visual and interactive, graph databases are projected as one of the most powerful analytical tools available in the market today. Businesses are leveraging these capabilities to visualize the relationships between skills, knowledge, expertise, and business outputs. The node and the edges in a graph database can have multiple characteristics. Furthermore, graph databases treat relationships between nodes naturally and efficiently, thereby allowing speedy responses to user’s queries. Moreover, the schemas of the graph databases are dynamic, as the characteristic of nodes, the nodes themselves, and relationships can be added and modified without technical support. This helps organizations to save time and money while providing unparalleled performance. The analysis and queries are supported through intuitive graphical interfaces. Hence, results and the graph databases itself can be presented online for internal and external audiences. Unlike most non-graphs based analytical systems, graph databases do not average out the number of nodes and relationships and consequently offer a more accurate analysis of relationships. The functionality and flexibility of graph databases mean that in comparison to existing software solutions, organizations can implement, maintain, and develop graph databases quickly and economically. In addition, graph databases can reveal insights into relationships, which are vital for organizational success, that existing software tools are unable to match yet. Click here to read the original article published by TLNT.