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Introduction

Neo4j, formerly known as Neo Technology, helped pioneer the graph database, a NoSQL database used for representing many-to-many relationships. Use cases typically include supply chain optimization, security and risk management, and customer 360.

Highlights

  • Neo4j is focusing on expanding adoption of its database by appealing to new users such as data scientists and analysts and extending "connected data" use cases into graph analytics, knowledge graphs, IoT, and artificial intelligence.

Features and Benefits

  • Explores how standards for graph data model representation and query languages have become key to Neo4j broadening its addressable market via sponsorship of openCypher.org.
  • Examines Neo4j’s challenge of facing competition as established data and cloud platform providers enter its market.

Key questions answered

  • What are graph databases used for?
  • How is Neo4j positioned in the database market?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put Neo4j on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Further reading
  • Author

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