Gartner Research

An Introduction to Graph Data Stores and Applicable Use Cases

Published: 24 January 2019

ID: G00361957

Analyst(s): Sumit Pal

Summary

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

Analysis

  • 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

Guidance

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

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