Market Guide 

2022 Gartner® 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.  
 
Graphic-shows-the-merging-of-capabilities-from-native-RDF-and-property-graph-DBMSs-and-multimodel-RDF-and-property-graph-DBMSs-into-Enterprise-Knowledge-Graph-Platforms-and-Graph-AI-Platforms-content
 
However, as the graph market explodes, it can be difficult to navigate the vendor landscape and understand which features are critical for your use case. The Gartner Market Guide for Graph Database Management Solutions (DBMSs) helps data and analytics professionals understand different implementation models and determine the right 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 30 August 2022

 

   Download the report to learn:
  • Develop a graph use case before choosing a graph DBMS
  • Assess enterprise requirements for graph DBMS product functionality
  • Distinguish between RDF and property graph models
  • And more

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GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.