Native vs. Non-Native Graph Database

Discover the critical differences between native vs. non-native graph databases and why the distinctions matter for database performance.

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Graphs for Ease and Scalability in the Auto Industry: The 5-Minute Interview with Michal Stefanak

​​”I think graph database is the only database we should use – at all. It’s the best one. After using Neo4j, I don’t want to go back to relational databases. The Neo4j database is perfect. It’s exactly the way people think and how you draw all the UML diagrams and everything. It’s exactly what you do,” says Michal Stefanak, Programmer at VOLKE.

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Telstra’s Neo4j Graphie Award for Excellence in Data Discovery: Why Neo4j?

For the fourth presentation in our GraphSummit series, we’re featuring Harry Corfield, Senior Data Architect, Chief Data & AI Office at Telstra. He spoke about their Graphie Award and shared his experience using Neo4j Graph Database to develop a data knowledge map.

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20 NODES 2022 Talks You Don’t Want to Miss

We did it together! Thank you, everyone, for making NODES 2022 such a success, especially the speakers, community partners, and the folks behind the scenes.

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Scale New Heights With Neo4j 5 Graph Database

The next generation graph data platform from Neo4j is now generally available! Neo4j 5 unleashes orders-of-magnitude faster performance, unbounded scale, and unmatched agility to run Neo4j databases anywhere you want.

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Using Neo4j Fabric for Scalable Fraud Detection on Graphs

Graph databases have proven immensely valuable in mapping out and predicting fraudulent transactions. However, as databases grow to tens or even hundreds of billions of entities, building a scaled-out data infrastructure that still performs with a response time in milliseconds becomes nontrivial.

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Can’t Stop, Won’t Stop: Graph Data Science 2.1 Is Better Than Ever

With the latest release of our Graph Data Science library, not only do you get more algorithms than ever before, but you also get access to the easiest to use and most scalable framework available.

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The New Normal: What I Learned (or Un-Learned) at GraphConnect 2022

A tremendous amount of database science is devoted to “normalization.” Time to ask yourself: Who does normalization actually serve?

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Achieve Unrivaled Speed and Scalability With Neo4j

In this blog, we will explore how to reframe the complexity of scalability in a more useful way and look at sources and patterns to demonstrate how it manifests in graphs.

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Neo4j’s Emil Eifrem and FirstMark’s Matt Turck on the Graph Database Explosion

At this year’s Data Driven NYC, Neo4j CEO and Co-Founder Emil Eifrem sat down with Matt Turck of FirstMark, and they discussed the evolution and explosion of the graph database space.

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Graphie Winner for Supply Chain Excellence: 5-Minute Interview with OrbitMI

Neo4j honored OrbitMI and their Graph Ecosystem with a Graphie Award for Supply Chain Excellence, and we got three leaders together to ask them some questions about their work in the graph database space, how Neo4j helped them innovate, and what they see on the horizon for connected data.

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#GraphCast: Graph-Native Scale, the Trillion+ Relationship Graph

Check out this week’s #GraphCast video, which showcases our recent demo for “The Trillion+ Relationship Graph” using graph-native scale.

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Neo4j Raises the Largest Funding Round in Database History

Check out Neo4j CEO and Co-Founder Emil Eifrem’s thoughts on raising the largest funding round in database history.

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Introducing Neo4j 4.3: The Fastest Path to Graph Productivity

See what’s new in Neo4j 4.3 including significant enhancements to performance, scalability, security, operability, and developer experience.

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Graph Data Platforms: From a Napkin Sketch to a Category Leader

Learn about Neo4j’s evolution to being named a leading Graph Data Platform by Forrester Research in their recent report.

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10 Tips for Creating Successful Graphs

Read this blog to get 10 insider tips on how to create a successful graph database. Download the book for even more valuable information.

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Insider Guide to Graph Data Science: First, a Brief Overview

Check out the first installment in this blog series on insider tips and tricks for the Neo4j Graph Data Science Library.

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Missed Connections: A Tale of a Porsche, Paul Newman and a Relational Database

Discover the benefits of a graph database via a story about auctioning off the Porsche 935 Paul Newman co-drove to a second place in the 1979 LeMans race.

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Introducing Neo4j 4.1

Learn about new features we’re introducing with Neo4j 4.1, including role-based access control and granular security, Causal Clustering and more.

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Practical Applications of Neo4j 4.0

Learn about practical applications in the newly released Neo4j 4.0, with our partner GraphAware using specific examples to showcase the benefits.

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The Future of the Intelligent Application: Business Agility

Learn more about how Neo4j 4.0 provides business agility by design to your applications through multi-database and cloud deployment options.

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The Future of the Intelligent Application: Scalability for Unlimited Growth

Read the second installment in our series on the future of the intelligent application, which examines scalability, including federated graphs and sharding.

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Sharding the LDBC Social Network

Explore the use of Fabric to achieve horizontal scaling, i.e. sharding, of the well-known and challenging LDBC Social Network Benchmark graph.

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#GraphCast: Neo4j 4.0 Explained in Less Than a Minute

Check out this week’s #GraphCast, featuring a quick explainer of Neo4j 4.0, the brand-new graph database with next-generation features and capabilities.

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It’s All in the Relationships: 15 Rules of a Native Graph Database

Learn all the rules of what makes up a native graph database and its deep search advantages over NoSQL relational databases.

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