GARTNER RESEARCH

Key takeaways on graph for data and analytics leaders

For over 40 years, relational has been the dominant frame of reference for enterprise data management. But graph data offers concrete advantages, owing to its ability to represent real-world complexity and changing relationships. Plus, graph offers a more adaptable, resilient foundation than the predefined static data structures and complex integrations of relational.
“Graph represents the next major evolutionary step for data and analytics leaders to enhance their overall delivery…. Traditional analytics often fail to address some of the new, complex business operations, delivery and analysis problems.… Graph helps you find unknown relationships in data and analyze the remaining data you are not analyzing with traditional analytics.”
 
Gartner “What Is ‘Graph?’ — An Elementary Version for the Uninitiated,” By Analysts Mark Beyer, Rita Sallam, Jim Hare, Pieter den Hamer, Afraz Jaffri, Merv Adrian, 7 December 2020. 
 

However, many data and analytics leaders still struggle to know when to apply graph techniques and how to gain buy-in from graph newbies. Read this Gartner research brief and we believe you will learn:

  • the basics of graph
  • benefits of using graph vs relational
  • how to align use cases to graph, and 
  • why the pandemic accelerated the need for graph

 

 
 

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Gartner relational quote and graph (1)

 

 

 

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