Graph Databases for Beginners: Why We Need NoSQL Databases

NoSQL databases are one of those things in life that are unhelpfully defined only by what they are not rather than by what they are, i.e., an anti-definition. NoSQL is a cheeky acronym for Not Only SQL – or more… Read more →

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Powering Recommendations with a Graph Database: Proven Business Benefits [+ Case Studies]

Relevant, real-time recommendations drive revenue, but they are challenging to deliver. That’s because good recommendations require bringing together so much data, surfacing the relationships between all that data and delivering just the right suggestion in context and in the moment.… Read more →

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Imperative vs. Declarative Query Languages: What’s the Difference?

The evolution of programming languages has grown in parallel with the evolution of computing itself, with new languages being created with each new advance and paradigm shift. After all, if language shapes how we view reality, then changes in computing… Read more →

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Graph Databases for Beginners: Why a Database Query Language Matters (More Than You Think)

Languages (the natural, human kind) shape how you view the world. From color to time to gender relations, there’s no escaping how language limits (or expands) your worldview. Words are the categories and labels that we use to process and… Read more →

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Visualizing Healthy Lifestyles: 5-Minute Interview with Alicia Powers, SVP at NYCEDC

“The future of graph technology is already here. It’s everywhere, because we can model anything in a way that’s more close to how it is in real life,” said Alicia Powers, Senior Vice President at New York City Economic Development… Read more →

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It’s Time for a Single Property Graph Query Language [Vote Now]

The time has come to create a single, unified property graph query language. Different languages for different products help no one. We’ve heard from the graph community that a common query language would be powerful: more developers with transferable expertise;… Read more →

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Now You Can Express Cypher Queries in Pure Python using Pypher [Community Post]

Cypher is a pretty cool language. It allows you to easily manipulate and query your graph in a familiar – but at the same time – unique way. If you’re familiar with SQL, mixing in Cypher’s ASCII node and relationship… Read more →

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DevOps on Graphs:
The 5-Minute Interview with Ashley Sun, Software Engineer at LendingClub

“Basically, anything you can think of in your infrastructure, whether it’s GitHub, Jenkins, AWS, load balancers, Cisco UCS, vCenter – it’s all in our graph database,” said Ashley Sun, Software Engineer at LendingClub. DevOps at LendingClub is no easy feat:… Read more →

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Retail & Neo4j: Pricing & Revenue Management

It’s never been easier for customers to comparison shop. In a matter of minutes, customers can compare prices for a specific product across a dozen stores — and all from the comfort of home. They can even compare prices and… Read more →

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Retail & Neo4j: Supply Chain Visibility & Management

Now more than ever, supply chains are vast and complex. Products are often composed of different ingredients or parts that move through different vendors, and each of those parts may be composed of subparts, and the subparts may come from… Read more →

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How to Import the Bitcoin Blockchain into Neo4j [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.] This guide runs through the basic steps for importing the bitcoin blockchain into a Neo4j graph… 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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A Path to the Graph: Data Integration That Begins without Writing Any Code

Most people understand the problem in any large organization today is that the data is in silos. Data is disconnected, and as a result, a report from any one source is incomplete and not necessarily actionable to the extent it… Read 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… Read 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… Read more →

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The 5-Minute Interview: David Brian Ward, CEO & Founder, Telegraph Hill Software

“As with any kind of software, the best for the job is one whose function matches your data structures,” said David Brian Ward, CEO and Founder of Telegraph Hill Software. David and his team were searching for a tool that… 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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The 5-Minute Interview: Scott Grimes, Senior Director of Revenue Management at Marriott International

“With Neo4j, we’ve been able to take our average processing time from over four minutes to about 13 seconds,” said Scott Grimes, Senior Director of Revenue Management at Marriott International. When Marriott customers search for hotel rooms for certain dates… Read 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… Read more →

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Graph-Specialized ETL: Taking Citizens into the Graph and Keeping It up to Date

Editor’s Note: This presentation was given by İrfan Nuri Karaca at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: The exponentially growing pool of data worldwide How graphs solved Kale Yazılım’s data challenges Trends in… Read more →

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The 5-Minute Interview: Andrés Natanael Soria, Senior Software Architect at Cablevisión

“Due to native graph storage, the Neo4j queries run really quickly, which is amazing,” said Andrés Natanael Soria, Senior Software Engineer at Cablevisión Fibertel. The company uses a broadband network to provide cable television and internet services to customers throughout… Read more →

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From the Neo4j Community: January 2017

The year is off to a great start when to comes to the Neo4j community. If this month is any indication of what’s to come, then we know that 2017 will be a big year for Neo4j projects, drivers and… Read more →

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The 5-Minute Interview: John Swain, Data Science Product Manager at Right Relevance

“When I initially chose Neo4j, it was a startup project. I found it extremely useful and easy to use, and immediately realized it was the way we wanted to develop,” says John Swain, Product Manager for Data Science and Data… Read 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… Read more →

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The 5-Minute Interview: Dippy Aggarwal, Ph.D. candidate at the University of Cincinnati

“We needed a database that could capture relationships – and there is no debate that Neo4j really excels at that,” says Dippy Aggarwal, Ph.D. candidate at the University of Cincinnati. Graphs provide significant advantages over relational databases when working with… Read more →

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