2021 Market Guide for Graph Database Management Solutions

Graph technology is now recognized as a key tool for uncovering relationships across diverse data. By intuitively modeling complex networks of real-world relationships, it’s now possible to represent knowledge in a machine-understandable format. Critically, this allows data engineers and architects to provide incremental value from existing data warehouses or data lakes by enabling complex queries across diverse sources.  
However, as the graph market explodes, it can be difficult to navigate the vendor landscape and understand and which features are critical for your use case. Gartner’s Market Guide to Graph Database Management Solutions (DBMSs) breaks down the graph space to help data and analytics professionals understand different implementation models and determine the best fit for their use case. 



“By 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision making across the enterprise.”

-Gartner "Market Guide: Graph Database Management Solutions" Merv Adrian, Afraz Jaffri, Donald Feinberg, 24 May 2021


   Download the report to learn:
  • The key differences between property graph (LPG) and semantic graph (RDF) vendors, as well as factors reducing the distinction between these technologies 
  • Needs of operational vs analytical use cases as it pertains to different graph vendors 
  • Overviews of key vendors in the graph space, including,  Stardog 




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