Xfinity xFi & User Personalization with Graphs

Editor’s Note: This presentation was given by Jessica Lowing at GraphConnect New York in September 2017. Presentation Summary We’ve come a long way towards making our homes smarter – but we still have a long way to go. Many of… Read more →

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Fighting Money Laundering and Corruption with Graph Technology

The shocking revelations of the International Consortium of Investigative Journalists (ICIJ), who released both the Panama and Paradise Papers, as well as the West Africa Leaks, have shown that aggressive tax avoidance and money laundering are a widespread and worldwide… Read more →

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Financial Risk Reporting: Building a Risk Metadata Foundation

Regulations, such as BCBS 239, are driving banks to reexamine the way they manage financial risk management data. Building a connected data foundation supports a world of innovative uses of your enterprise data – including 360-degree visibility of your customers,… Read more →

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Graph Databases for Beginners: Why Graph Technology Is the Future

The world of graph technology has changed (and is still changing), so we’re rebooting our “Graph Databases for Beginners” series to reflect what’s new in the world of graph tech – while also helping newcomers catch up to speed with… Read more →

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Neo4j Graph Database 3.4 GA Release: Everything You Need to Know

Author’s note: What a hectic week in the world of Neo4j! In addition to finalizing the delivery of Neo4j 3.4, we simultaneously built the GQL Manifesto, a call to support a common, unified Graph Query Language. Thank you to the… Read more →

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GDPR Compliance: Why Graph Technology Is the Fastest (and Most Future-Proof) Solution

According to Eurostat, 81% of Europeans feel they don’t wholly control their online data and 69% worry that firms might use their data for purposes other than those advertised. The European Union’s General Data Protection Regulation (GDPR) states that individuals… Read more →

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Data Profiling: A Holistic View of Data using Neo4j

Summary Data profiling is a widely used methodology in the relational database world to analyse the structure, contents and metadata of a data source. Generally, data profiling consists a series of jobs executed upon the data source to collect statistics… Read more →

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Forrester Research: Graph Databases Vendor Landscape [Free Report]

In 2015, analyst firm Forrester Research published a vendor landscape report on the state of graph databases. It included a few graph technology vendors, several graph use cases and described Neo4j as the “most popular graph database.” Since then, graph… Read more →

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Welcome to the Graph Community, Amazon Neptune!

This post originally appeared on Emil Eifrem’s CEO blog on 1 December 2017. Graph technology has come a long way, and today the transformative nature of graphs is publicly visible through examples such as financial fraud detection in Panama and… Read more →

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Neo4j: From Graph Database to Graph Platform

Today at GraphConnect New York, Neo4j has announced our transformation from the provider of a graph database into the creator of a graph platform. We are making this change to address the evolving needs of customers in their deployment of… Read more →

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This Week in Neo4j – 23 September 2017

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. Featured Community Member: Alessandro Negro This week’s featured community member is Alessandro Negro, Chief Scientist at… Read 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… Read more →

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The 5-Minute Interview: Benjamin Nussbaum, Co-Founder of GraphGrid

“When we first started exploring Neo4j’s native graph database, we saw benefits in how the data was stored because it paralleled real-world connected data,” said Benjamin Nussbaum, Co-Founder at GraphGrid. He and his team realized that the future of data… Read more →

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Neo4j 3.2 GA Release: Enterprise Scale, Native Performance & More

We are proud to announce the general availability release of Neo4j 3.2. This release marks an expansion in global scale, enterprise refinement and all-around performance. It signals that the next generation of graph-powered Internet applications will span the globe. To… Read 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… Read more →

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The Engineering Evolution of Neo4j into a Native Graph Database

Hi everyone. My name is Dr. Jim Webber. I’m Neo4j’s chief scientist, and I’d like to take a few minutes to talk to you about Neo4j’s evolution from an engineering point of view. Our Origin Story: Overcoming Complicated SQL Queries… Read more →

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Role-Based Access Control in Neo4j Enterprise Edition [Security Series, Part 1]

Neo4j has broken new ground in database applications with the introduction of the native graph database and the dominant labeled property graph model. As Neo4j has matured, it has inevitably found its way into demanding enterprises who value security alongside… Read more →

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The 5-Minute Interview: Clark Richey, CTO & Co-Founder of FactGem

“The thing we love most about Neo4j is that it’s truly the only native property graph on the market that does what it says it’s supposed to do,” said Clark Richey, CTO and Co-Founder of FactGem. There are a number… Read 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,… Read more →

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