Graph Data Platforms: Collections vs. Connections

Read this blog to find out how graph databases differ from SQL and NoSQL databases, empowering you to reap the benefits of connected data.

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Using GraphQL for Digital Identity & Access Management

Learn how to build IAM solutions using GrandStack and GraphQL, and explore how graphs are helpful in real-time access management decisions.

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#GraphCast: Better Data, Better Decisions

Check out this week’s #GraphCast, featuring a brief video on how a graph database like Neo4j helps you gain a sustainable competitive advantage.

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Toward AI Standards: Context Makes AI More Robust

Read this third blog in our series “Toward AI Standards” and discover how graph technology adds context to data relationships for more robust AI solutions.

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From Collections to Connections: Where Hadoop Adoption Goes from Here

Learn about the evolving world of big data and how the industry is increasingly interested in connecting data rather than just collecting it.

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#GraphCast: Emil Eifrem on the Exponential View podcast with Azeem Azhar

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last week, our Managing Editor, Jocelyn Hoppa, highlighted the similarities between the choose-your-own-adventure movie, Black Mirror: Bandersnatch and running… Read more →

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Intelligent Recommendation Engine for Financial Analysts

Editor’s Note: This presentation was given by Geoffrey Horrell at GraphConnect New York in October 2017. Presentation Summary Thomson Reuters has been collecting data for the last 150 years. It became clear that its financial analysis custers were struggling with… Read more →

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The Next Generation of Service Assurance: Differentiating Your Solution

Successful companies are embracing next-generation service assurance that leverages a comprehensive, real-time view of services and infrastructure with an eye on end-user experiences, new service creation and predictive modeling. But to compete in today’s market, communication service providers need a… Read more →

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Graph Databases for Beginners: Why Connected Data Matters

“It’s not what you know, it’s who you know.” Sound familiar? Depressingly, we all know it’s true: The boss’s son has a better shot at that corner office than you do. That’s because in business – and in life –… Read more →

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Introducing Neo4j Bloom: Graph Data Visualization for Everyone

Today at GraphTour San Francisco, CEO of Neo4j, Inc. Emil Eifrem announced the arrival of an entirely new product being added to the Neo4j Graph Platform: Neo4j Bloom. Neo4j Bloom is a breakthrough graph communication and data visualization product that… Read more →

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This Week in Neo4j – 27 May 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: Florin Pătraşcu This week’s featured community member is Florin Pătraşcu, System Architect at… Read more →

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Enabling the Cisco Decoder Ring with Neo4j

Editor’s Note: This presentation was given by Andrew Chappell at GraphConnect San Francisco in October 2016. Here’s a quick review of what he covered: What is a decoder ring, and why do you need one? The power of hierarchy management… 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 5-Minute Interview: Peter Walker, Project Manager at Cisco

“We tried doing our work with RDBMS, but found that the queries were just going too slowly,” said Peter Walker, Project Manager at Cisco. Peter and his team were looking for way to mine customer support case notes and find… Read 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… Read 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… Read 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… Read 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… Read 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… Read 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… Read 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… Read 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.… Read 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… Read 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… Read more →

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