The Top 10 Reasons You Should Attend GraphConnect New York

This autumn, GraphConnect will again be in the town that never sleeps – New York City! Whether you’re new to the world of graph database or you’ve been a part of the movement for some time, there’s something new for… Learn More →

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A Note on Native Graph Databases

It’s fun to watch the graph database category evolve. From being a seemingly niche category a decade ago (despite the valiant efforts of the Semantic Web community) to a modest – but important – pillar of the data world as… Learn More →

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1st Steps with Graphcool’s GraphQL Command-Line Interface [Community Post]

This blog post was originally published on Medium by Michael Hunger and is used with permission. Graphcool released it’s GraphQL command-line tools two days ago, so I thought it would be nice to see how well they work, especially with… Learn More →

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A Game of Data and GraphQL [Game of Thrones Community Post]

This blog post was originally published on Medium by Michael Hunger and is used with permission. Creating a Neo4j graph database (and more) based on Game of Thrones (and A Song of Ice and Fire) data. As season 7 is… Learn More →

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The Top 13 Resources for Understanding Graph Theory & Algorithms

Recently we announced the availability of some super efficient graph algorithms for Neo4j. In case you missed the announcement, we now have an easy-to-use library of graph algorithms that are tuned to make full use of compute resources. As part… Learn More →

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Meet the ICIJ’s First-Ever Neo4j Connected Data Fellow

The International Consortium of Investigative Journalists (ICIJ), in partnership with the graph platform company Neo4j, are proud to welcome Manuel Villa as the first-ever Neo4j Connected Data Fellow. The fellowship, announced last May, was inspired by the way graph databases… Learn More →

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Machine Learning, Graphs and the Fake News Epidemic (Part 2)

In last week’s post, we discussed why designing a fully automated fake news detector is currently infeasible and introduced a semi-automated, graph-based solution which would use machine learning to work alongside human fact checkers to scalably flag and quarantine fake… Learn More →

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Machine Learning, Graphs and the Fake News Epidemic (Part 1)

Regardless of your political affiliation or demographic it’s difficult to deny the effects of the recent fake news boom. The Pew Research Center conducted a survey that found that two in three adults in U.S. believe that the upsurge of… Learn More →

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GraphConnect: New York City, Here We Come!

As you already know, Neo4j embodies relationships and connections between data. Not just that, it taps into the value of these relationships and connections. This is why we started GraphConnect: We wanted to put just as much emphasis on connecting… Learn More →

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Hello, World: Neo4j, Inc.

Effective today, Neo Technology is officially changing its name to Neo4j, Inc. Why We’re Changing Our Company Name By becoming Neo4j, Inc. we now accept that it is how the world has always known us, and we’re updating our legal… Learn More →

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The Graph of Thrones [Season 7 Contest]

Today launches the seventh season of “Game of Thrones” with many exciting developments awaiting the audience. Even if we might never see the last two books Winds of Winter and A Dream of Spring published, the TV series producers march… Learn More →

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The 5-Minute Interview: Anirban Chatterjee & Keshav Ranganathan, IBM

“As the relationship really started to take shape, we realized what the two technologies could solve much more effectively when they worked together,” said Keshav Ranganathan, Senior Offering Manager at IBM Power Systems. The Neo4j partnership with IBM Power Systems… Learn More →

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Announcing Neo4j in the Microsoft Azure Marketplace [Azure Series, Part I]

We are excited to announce the availability of Neo4j in the Microsoft Azure Marketplace. Neo4j is a native graph database that stores data as graphs rather than in tables so you can traverse any depth of data in real time… Learn More →

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Graph Visualization for Neo4j Schemas using yFiles

I have been working with graph visualizations for almost 20 years now, but only recently have I begun looking into graph databases. Shortly after I got introduced to Neo4j, I found that when looking at existing dataset examples I often… Learn More →

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What’s New in Neo4j Databridge [April 2017]

Since our first post a few months back, Neo4j-Databridge has seen a number of improvements and enhancements. In this post, we’ll take a quick tour of the latest features. Streaming Endpoint Although Databridge is primarily designed for bulk data import,… Learn More →

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Mativy Task Delegation System using Neo4j

Editor’s Note: This presentation was given by Miha Žagar at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: Using ants to develop an efficient task delegation model What the delegation system looks like under the… Learn More →

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Query Management & Security Event Logging in Neo4j Enterprise [Security Series, Part 4]

No matter the size or scope of your graph database, it’s vital to maintain secure control of your data and to keep a record of security events. Starting in Neo4j 3.1 and all future releases, users will have increased control… Learn More →

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JCypher: A Java Domain-Specific Language (DSL) for Cypher

Editor’s Note: This presentation was given by Wolfgang Schützelhofer at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: An Introduction to JCypher Domain Mapping Executing domain queries using JCypher The future of JCypher – What… Learn More →

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Using the LDAP Protocol with Neo4j Enterprise Edition [Security Series, Part 3]

Neo4j 3.1 supports the LDAP protocol, so you can integrate Neo4j with Active Directory, OpenLDAP or other LDAP-compatible authentication services. Unlike with native users, management of federated users is performed through the external LDAP service. The only aspect of user… Learn More →

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Native User Security & Access Control in Neo4j Enterprise [Security Series, Part 2]

In Neo4j 3.1 Enterprise Edition, we introduced a new role-based access control framework for user and application access to the database. The framework enables system administrators to manage permissions and ensure that authenticated users and applications can perform only authorized… Learn More →

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Public Service Announcement: Neo4j Drivers 1.2 Release

We are happy to announce that all our officially supported Bolt drivers are now available as versions 1.2. With this release, we massively improved the way you write code to work with a cluster, introducing reusable “transaction functions” and built-in retry… Learn More →

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Forrester Research: How Monsanto Harnesses Connected Data Using Neo4j

Tomorrow’s enterprises won’t just leverage their data, but the relationships between data points in order to get and stay ahead of the competition. However, these enterprises need a database purpose-built for handling relationships – and it must work alongside existing… Learn More →

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The 5-Minute Interview: Chuck Kane, Director of Global Solutions at Pitney Bowes

“Moving from relational to graph, it takes time to learn to step back from your data and ask, ‘What more can I do?’” said Chuck Kane, Director of Global Solutions at Pitney Bowes. The company partnered with Neo4j to provide… Learn More →

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The JetBrains IDE Plugin for Graph Database Developers [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Many developers mostly stay in their integrated development environments (IDEs) when working on software. That’s why… Learn More →

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The Co-Evolution of Computer Hardware & Graph Databases: Why Graph-Native Matters

Neo4j is a native graph database, which means all of the code – from the web browser to the drivers, Bolt protocol, page cache, cluster protocols, disk storage format — is optimized for graph workloads. As hardware advances come along,… Learn More →

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