Gartner Research

An Introduction to Graph Data Stores and Applicable Use Cases

Published: 24 January 2019

ID: G00361957

Analyst(s): Sumit Pal


Graph data stores can efficiently model, explore and query data with complex interrelationships across data silos, but there is a lot of hype around them. This research provides technical professionals dealing with data and analytics an overview of graph database use cases and their architecture.

Table Of Contents


  • What Is a Graph Data Store?
  • Relational Data Stores Are Not Sufficient for Highly Interconnected Data
  • Key Value or Other NoSQL Data Stores Are Not Sufficient
  • Why Graph Data Stores?
  • Strengths
  • Weaknesses


The Details

  • Different Types of Modeling Graphs
    • Property Graphs
    • RDFs
    • Hypergraphs
    • Use Cases
    • Graph Data Store Standards
    • Graph Data Store Architecture
    • Graph Storage
    • Graph Processing
    • Graph Data Query Languages
    • How Graph Data Stores Handle Transactions, High Availability (HA) and Large-Scale Graphs
    • Matrix of Graph Data Stores and Their Features

Gartner Recommended Reading

©2021 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Become a client

Learn how to access this content as a Gartner client.