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  • Neo4j Customer: eBay
  • Neo4j Customer: ICIJ
  • Neo4j Customer: UBS
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  • Neo4j Customer: Microsoft
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  • Neo4j Customer: Pitney Bowes
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Free O'Reilly Ebook
Graph Databases for Connected Data

Get started with O'Reilly's Graph Databases and discover how graph databases can help you manage and query highly connected data.
 

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No Download Required
Get Started Quickly with the Neo4j Sandbox

Start using Neo4j within seconds, with built-in guides and sample datasets for popular use cases. No Neo4j experience necessary.
 

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New FREE Ebook
Graph Databases
for Beginners

Learn the basics of graph technology and why a connections-first approach to data enables powerful new applications.
 

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What is the Graph Platform?

Neo4j Desktop, the developers’ mission control console

  • Free, registered local license of Enterprise Edition
  • APOC library installer
  • Algorithm library installer

    • Neo4j 3.4 is faster & with new data types

  • Writes are now up to 5x faster
  • New supported data types: date/time format and 3D geospatial data
  • A new kernel API

    • Discovery & Visualization

  • Integration with popular visualization vendors
  • Neo4j Browser and custom visualizations allow graph exploration
    • Neo4j Graph Platform Diagram

    Data Integration

  • Neo4j ETL reveals RDBMS hidden relationships upon importing to graph
  • Data Importer for fast data ingestion
  • Data Lake Integrator materializes graphs from Apache Hadoop, Hive and Spark

    • Graph Analytics

  • Graph Algorithms support PageRank, Centrality and Path Finding
  • Cypher for Apache Spark from openCypher.org supports graph composition (sub-graphs) and algorithm chaining

    • Neo4j - The Fastest Path To Graph Success

    Native Graph Database

    Experience the leading database engineered from top to bottom for connected data.

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    Graph Expertise

    Tap into an ecosystem of solutions and graph-based services to shorten your learning curve.

    Professional Services

    Innovation Network

    Join the highest concentration of open source graph innovators on the planet.

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    What is Neo4j?

    New to Graphs?

    From data modeling and drivers to scalability and Cypher queries, learn more about graph database development.
     

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    Neo4j for RDBMS Developers

    Get an introduction to Neo4j with The Definitive Guide to Graph Databases for the RDBMS Developer.

    Get the Guide

    Bottom-line Impact

    Learn how companies are using graph databases such as Neo4j to gain sustainable competitive advantage.
     

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    Graph Technology Solutions

    From fraud detection and real-time recommendations to network security and master data applications, Neo4j powers some of the most essential enterprise use cases for connected data.

    Explore Solutions

    Connected Enterprises Powered by Neo4j

    See for yourself how Neo4j customers use the world's leading graph database to power real-time intelligent applications.

    Read Case Studies

    Transforming Logistics: Real-time Routing and Tracking with Neo4j

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    Next-Gen Master Data Management Comes to Marketing at Pitney Bowes

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    Walmart Optimizes Customer Experience with Real-time Recommendations

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    Janos Szendi-Varga' Picture

    Neo4j Blog
    Why You Should Start Thinking About Your Organization as a Graph

    Do you think there is no space for a graph database in your company? Or it would be a huge effort to integrate a graph database into your product? I have to tell you: You can use a graph database like Neo4j without touching your product, and you can use it for managing your company’s knowledge as well

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    Dom Davis' Picture

    Neo4j Blog
    Decyphering Your Graph Model

    Editor’s Note: This presentation was given by Dom Davis at GraphConnect Europe in May 2017. Presentation Summary Graphs really are everywhere, and building your graph database model from the highest possible vantage point using natural language – and the language specific to your domain –

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    Mark Needham & Amy E. Hodler' Picture

    Neo4j Blog
    Graph Algorithms in Neo4j: Connected Data & Graph Analysis

    Until recently, adopting graph analytics required significant expertise and determination, since tools and integrations were difficult and few knew how to apply graph algorithms to their quandaries and business challenges. It is our goal to help change this. We are writing this blog series to help

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    In the News

    October 16, 2018

    DZone Database: Finding Your Neighbors Using Neo4j – In graphs, it’s an invitation to traverse.
    October 15, 2018

    DZone Database: Neo4j Graph Technology – Effective Solution to Internal Risk Models for FRTB Compliance

    Neo4j’s Emil Eifrem examines how Munich’s DZD are studying large datasets and uncovering exciting new insights using graph database technology

    Will GQL Be The SQL Of Graphs?

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