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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Amazon Eating Your Lunch? What Data-Driven Retailers Can Do About It [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.] Nearly every analyst of the retail industry would consider Amazon as the source of the declining… Learn More →

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Financial Services & Neo4j: 360-Degree View of Customer Experience

Customer expectations are rising at a time when customer service is a significant differentiator within the financial services industry. Customers expect companies to deliver personalized service – i.e., an end-to-end customer experience – that reflects an understanding of who they… 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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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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Financial Services & Neo4j: Cybersecurity

Cybersecurity is of critical importance to financial services firms. IT organizations must mitigate cybersecurity risk, both in terms of external access to the infrastructure and in understanding how a malware infection or attack can move across a particular network. These… 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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Financial Services & Neo4j: Anti-Money Laundering

Reducing the risk of money laundering presents a similar challenge to that of fraud detection when it comes to today’s financial services landscape. Firms need to know where funds come from and where they are headed, but criminals use indirection… Learn More →

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Financial Services & Neo4j: Fraud Detection

Identifying and stopping fraudulent activity is harder than ever for financial services organizations. Standard anti-fraud technologies — such as a deviation from normal purchasing patterns — use discrete data. This is useful for catching individual criminals acting alone, but discrete… Learn More →

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The Emergence of the Enterprise DataFabric

Editor’s Note: This presentation was given by Mark Kvamme and Clark Richey at GraphConnect San Francisco in October 2016. Presentation Summary Enterprises are faced with a variety of challenges when it comes to managing data, largely due to the disparate… Learn More →

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Financial Services & Neo4j: Data Lineage & Metadata Management

Regulatory compliance requires financial services firms to have visibility into data lineage, information and process flows. The Sarbanes-Oxley Act (SOX), for example, requires public firms to understand who has access to what data, what data resides in which systems, and… Learn More →

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GraphConnect Europe Agenda: Everything You Need to Know [2017 Edition]

You already have all the reasons you should attend GraphConnect Europe and now you know who the top 10 presenters will be, but now it’s time for the easiest selling point of all: the bottom-to-top agenda of all the keynotes,… 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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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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openCypher – the SQL of Graphs – Hosts First Implementers Meeting (oCIM)

I’ve only been on the Neo4j team for eight months, but it’s been a hectic and fascinating introduction to the world of graph data management. During my career I’ve been back and forth between software product companies (from the very… Learn More →

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The 5-Minute Interview: Bradley Nussbaum, CEO of AtomRain

“Data that isn’t connected just isn’t as useful,” says Bradley Nussbaum, CEO at AtomRain in Los Angeles. The world of big data is no longer just taking notice of graph database technology — they’re taking action to implement it because… Learn More →

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5-Minute Interview: Doug Balog, General Manager at IBM Power Systems

“Moore’s Law is dead,” says Doug Balog, General Manager at IBM Power Systems. Due to the constraints of physics, we can no longer expect the doubling of transistor density and performance every couple of years, and the implications for the… Learn More →

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WayBlazer Cognitive Computing Application Powered by IBM Watson & Neo4j

Editor’s Note: This presentation was given by Ivan Portilla at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: The three eras of computing What is cognitive computing? What’s new with Watson? Streamlining travel with Wayblazer

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We’re Releasing It Live: Neo4j 3.1 GA Launch Event

You already know about Neo4j 3.1 from its beta launch at GraphConnect last October. Now the general availability release of Neo4j is less than two weeks away! That’s right, Neo4j 3.1 will become production ready on Tuesday, 13 December 2016,… Learn More →

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Why We Just Raised a $36M Series D – and What’s Next for the Graph Space

I’m incredibly excited to announce that the Neo4j team has just raised $36 million in a series D funding round. I am glad to welcome Greenbridge Investment Partners to the graph of Neo4j investors, and I’d like to thank all… Learn More →

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FOSDEM 2017: Join Us in the Graph Developer Room!

Just like last year, we’re happy that the graph processing and graph database developer room at FOSDEM was approved again. Check out all the details here, including information about submissions: http://graphdevroom.org. If you’re interested in presenting, please submit your talks… Learn More →

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Using the Power of Graphs for Enterprise Metadata Management

Pitney Bowes is a Silver sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Data is an asset – we’ve been hearing that for years, but we’re still not ready to treat it… Learn More →

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