Announcing the Neo4j GraphTour in 8+ Cities Worldwide

Starting this February, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionizing the modern enterprise. The GraphTour Basics This one-day local event will teach you all you… Read more →

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The Evolution and Future of Graph Technology: Intelligent Systems

The field of graph technology has developed rapidly in recent years. From the beginnings of the Neo4j graph database – released almost nine years ago in version 1.0 – up to the latest version (and also the developments of other… Read more →

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It’s High Time Neo4j Had a CFO – Here’s Who We Chose [Interview]

Just yesterday, I got to announce the addition of Denise Persson – CMO at Snowflake – to the Neo4j Board of Directors. Today, I get to announce another incredibly important executive appointment: Mike Asher has joined Neo4j as our inaugural… Read more →

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Please Welcome Denise Persson – CMO at Snowflake – to the Neo4j Board [Interview]

It is my pleasure to introduce the newest member of the Neo4j Board of Directors: Denise Persson. Denise is the Chief Marketing Officer at Snowflake Computing, one of the hottest companies in the data space – and like Neo4j, also… Read more →

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Evaluating Investor Performance Using Neo4j, GraphXR and ML

[Editor’s Note: The blog post and project is the result of a group of graduate students in the M.S. Business Analytics program at Santa Clara University. Learn more about these awesome folks below!] Venture capital has become an increasingly popular… Read more →

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Neo4j Graph Database 3.5: Everything You Need to Know [GA Release]

Speaking on behalf of the Neo4j team, I’m pleased to announce the immediate general availability of Neo4j Graph Database version 3.5 – in both Community and Enterprise Editions. Neo4j 3.5 improves the performance, utilization and security of the Neo4j Graph… Read more →

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#GraphCast: Intro to the APOC Utility Library

Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last week, our Managing Editor, Jocelyn Hoppa, unearthed the Graph Karaoke series (by the intrepid Rik Van Bruggen) from the… Read more →

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Flexible Data Pipelines: 5-Minute Interview with Pat Patterson, Technical Director, StreamSets

“With Neo4j, we can run analyses across relationships. These analyses are not feasible or even possible when the data is spread out among different systems,” said Pat Patterson, Technical Director, StreamSets. In this week’s five-minute interview, we discuss how StreamSets… Read more →

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Journey Planning… And Why I Love Cypher

Editor’s Note: This presentation was given by Adam Cowley at GraphConnect Europe in May 2017. Presentation Summary Adam Cowley wanted to create a door-to-door journey-planning tool with Cypher that would allow him to accurately map a trip via train, bus,… Read more →

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Graph Algorithms in Neo4j: Neo4j Graph Analytics

At a fundamental level, a native graph platform is required to make it easy to express relationships across many types of data elements. To succeed with connected data applications, you need to traverse these connections at speed, regardless of how… Read more →

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Simplicity Wins: We’re Shifting to an Open Core Licensing Model for Neo4j Enterprise Edition

TL;DR: Starting with Neo4j 3.5, Enterprise Edition source code will no longer be published to the open source commons, including future versions. This does not impact Neo4j Community Edition. We will continue to deliver the world’s best and most comprehensive… Read more →

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Creating a Data Distribution Knowledge Base Using Neo4j

Editor’s Note: This presentation was given by Syed Haniff at GraphConnect Europe in May 2017. Presentation Summary UBS bank was relying on a data distribution model that was no longer serving its internal consumers, largely because it required its users… Read more →

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Graph Databases for Beginners: ACID vs. BASE Explained

When it comes to NoSQL databases, data consistency models can sometimes be strikingly different than those used by relational databases (as well as quite different from other NoSQL stores). The two most common consistency models are known by the acronyms… Read more →

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#GraphCast: Graph Karaoke Featuring The Knife’s “Heartbeat”

Welcome to our new biweekly Sunday series, #GraphCast, which aims to unearth digestible, notable and just plain fun Neo4j YouTube videos (of which there are a lot). Whether we focus on some of our most popular videos or highlight a… Read more →

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This Week in Neo4j – Graph Modeling Tips, Full-Text Search Preview, Building a Graph App

Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. I found some excellent material including graph modeling tips from Max and Michael Simons, computing graph embeddings,… Read more →

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How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]

“You may also like” sounds simple, but there’s a lot happening behind the scenes. Real-time recommendations work best when they take into account both the user’s needs (what is of interest to them) and your business strategy (items you need… Read more →

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This Week in Neo4j – $80 Million Series E, New Neo4j Monitoring Tool, Cyber Attack Graphs, Spring Data Neo4j Tutorial

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have Neo4j’s $80 Million Series E, Cyber Attack Graphs, an interview with the… Read more →

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We Just Closed the Largest Single Investment in the Graph Space. Now What?

I’m thrilled to announce that Neo4j has just closed $80 million in a series E funding round. We are happy to welcome One Peak Partners and Morgan Stanley Expansion Capital to the graph of Neo4j funders. I’d also like to… Read more →

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If You Build It They Will Come: Starting a GraphDB Meetup Where There Is None

About seven years ago, I came across Neo4j while trying to find a way to visually represent stored information and make connections like the human brain does. At the time, I only really needed to build an awesome recommendation engine… Read more →

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Graph Algorithms in Neo4j: The Power of Graph Analytics

According to Gartner, “graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions.” Why did Gartner say this? Because graphs are the best structure for today’s complex and ever changing data, and if… Read more →

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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… Read more →

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Effective Internal Risk Models for FRTB Compliance: Risk Management with Neo4j [Infographic]

In this series on the FRTB, we delved into what is required for effective internal risk models using a graph database like Neo4j. In previous weeks, we looked at the requirements of FRTB compliance and the relationship between risk modeling… Read more →

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Custom Visualization Solutions: Getting the Most Out of Your Data

Neo4j is perfect for storing and processing large amounts of connected data. For example, in web analytics, where click-paths and custom events get logged, it is easy to get that data into Neo4j. Once the data is in the graph… Read more →

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This Week in Neo4j – Recommendations with Personalized PageRank, Solving the bucket-filling problem, Deep Text Understanding

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have recommendations with Personalized PageRank, Solving the bucket-filling problem, Deep Text Understanding, a… Read more →

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Powering Recommendations with a Graph Database: A Rapid Retail Example

It’s one thing to say that Neo4j streamlines real-time recommendations; it’s another to show you the code so you can see for yourself. In this series, we discuss how real-time recommendations support a number of different use cases, from product… Read more →

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