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 5-Minute Interview: Cindee Madison, Data Engineer at Gallium Artistic Services

“Using artificial intelligence, we’re creating what you could call a social network of the mind,” says Cindee Madison, Data Engineer at Gallium Artistic Services. With tools such as IBM Watson — which provides the technology that allows robots to check… Learn More →

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The 5-Minute Interview: Megan Kvamme, CEO at FactGem

For this week’s 5-Minute Interview, I spoke with Megan Kvamme, CEO at FactGem. Megan and I caught up at GraphConnect San Francisco last October. Here’s what we discussed: How does FactGem use Neo4j? Megan Kvamme: We built FactGem on top… Learn More →

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The 5-Minute Interview: David Meza, Chief Knowledge Architect, NASA

For this week’s 5-Minute Interview, I chatted with David Meza, Chief Knowledge Architect at NASA Johnson Space Center in Houston. I caught up with David at GraphConnect San Francisco. Here’s what we talked about: Tell us a little bit about… Learn More →

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The 5-Minute Interview: Jesus Llevadias Jane, Co-Founder of Graph Everywhere

For this week’s 5-Minute Interview, I spoke with Jesus Llevadias Jane, Co-Founder of Graph Everywhere. I sat down with Jesus at GraphConnect Europe. Here’s what we talked about: Why did you decide to build a company around graph databases? Jesus… Learn More →

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Why Enterprises Are Abandoning RDBMS (and Adopting Graphs)

Relational databases (RDBMS) were conceived to digitize paper forms and automate well-structured business processes, and they are still extremely relevant today. But, many companies are choosing to explore other database options to solve some of their biggest challenges. Why? The… Learn More →

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RDBMS & Graphs: Why Relational Databases Aren’t Always Enough

Relational databases are powerful tools. Since the 80s, they have been the power-horse of most software applications and continue to do so today. Relational databases (RDBMS) were initially designed to codify paper forms and tabular structures, and they do that… Learn More →

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Everything You Need to Know for Graph Data Modeling Success

It’s the new year, and you’ve just started your next app or side project. After spending some time thinking through your use cases and end user experience, you recognize how important data storage will be. Several concerns come to mind.… Learn More →

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Query Your World with Cypher: Focus on Data Relationships

Editor’s Note: Last October at GraphConnect San Francisco, Nicole White – Data Scientist at Neo Technology – delivered this presentation on how to write Cypher queries for your most common connected-data questions. For more videos from GraphConnect SF and to… Learn More →

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3 Major Graph Database Technology Trends to Watch in 2016 [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 post originally appeared on the GrapheneDB blog and is used with permission.] In a recent… Learn More →

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The Sustainable Competitive Advantage of Connected Data

As data sizes and customer expectations accelerate at lightning speed, how can your business achieve sustainable competitive advantage? By unlocking the value of data relationships – in both new and reimagined applications – your enterprise can easily improve performance, simplify… Learn More →

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How Graph Databases Ensure Sustainable Competitive Advantage

Where does sustainable competitive advantage come from? It’s not from data volume or velocities, but from the knowledge of data relationships. Even three years ago, you may not have given your database choice much thought – after all, if you… Learn More →

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Using Graph Structure Record Linkage on Irish Census Data with Neo4j

For just over a year I’ve been obsessed on-and-off with a project ever since I stayed in the town of Skibbereen, Ireland. Taking data from the 1901 and 1911 Irish censuses, I hoped I would be able to find a… Learn More →

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A New Way of Looking at “Moving Relationships” in 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.] Introduction A graph database is not only a simple way to store connected data, it is… Learn More →

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Graph Databases for Beginners: Data Modeling Pitfalls to Avoid

With the advent of graph databases, data modeling has become accessible to masses. Mapping business needs into a well-defined structure for data storage and organization has made a sortie du temple (of sorts) from the realm of the well-educated few… Learn More →

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New Neo4j Course: Stop Developing Databases the Hard Way! [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.]Back in early 2013, I was working on an RDBMS project with Java. The project goals required… Learn More →

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The Database Model Showdown: An RDBMS vs. Graph Comparison

The recent proliferation of database technologies is a testament to the fact that relational databases are not the right tool for every job. Of course, they have their uses: Tabular data with a consistent structure and fixed schema is a… Learn More →

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Graph Databases for Beginners: Why Data Relationships Matter

We live in an ever-more-connected world, and data relationships, will only increase in years to come. If your business is to succeed in a highly connected world, you must learn to leverage those connections for all they’re worth – but… Learn More →

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5 Sure Signs It’s Time to Give Up Your Relational Database

Despite advances in computing, faster processors and high-speed networks, the performance of relational database applications is becoming slower and slower. These performance problems are happening because of the rapid growth not only in the volume and velocity of data, but… Learn More →

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