Neo4j JDBC Driver 3.0.3 & 3.1.0 Released

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Click here to skip straight to the JDBC driver announcement. During his opening keynote address, Emil… Learn 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… 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 9 GraphConnect San Francisco Speakers You Simply Can’t Miss

There are a lot of great reasons to attend GraphConnect San Francisco, but one of the best reasons is that every year we feature an entirely new lineup of the world’s absolute first-rate speakers and graph technology experts. The five-year… Learn More →

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From the Neo4j Community: August 2016

The Neo4j community has been busy this summer with a number of great projects, code libraries and a host of great articles on how graphs are everywhere – including everything from the Rio Summer Olympics to examining ISIS support and… Learn More →

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My Time as a Neo4j Intern: Thoughts on an Authentic Culture

Last semester, my professor told us to “pick an internship based on its quality and what you’ll learn, not on your assumed career path.” That seemed like great advice for me, especially since I hadn’t yet decided on which field… Learn More →

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Graph Databases for Beginners: Native vs. Non-Native Graph Technology

No technology is equally good at everything, and databases are no exception. It’s possible for databases to satisfy different kinds of functions: batch and transactional workloads, memory access and disk access, SQL and XML access and graph and document data… 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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From Good to Graph: Choosing the Right Database

Editor’s Note: Last October at GraphConnect San Francisco, Clark Richey – Chief Technology Officer at FactGem – delivered this presentation on his database decision path toward Neo4j. For more videos from GraphConnect SF and GraphConnect Europe, check out graphconnect.com.. I’m… Learn More →

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A Graph-Specialized ETL: Taking Citizens into a Graph and Keeping It Up to Date

In this post I want to talk about the challenges we faced during our graph journey and how we overcame them. The outline of this post is as follows. Why do we need ETL and sync from SQL to a… Learn More →

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An Introduction to Cypher for the SQL Developer

Traditionally, if you wanted to query a dataset the only option was to learn SQL and query your relational database or data warehouse. But over the last 5-10 years we’ve seen the emergence of NoSQL databases which have brought with… 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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From Idea to App Store: The Neo4j Story of Traverse Mobile [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.] Where We Got the Idea for Traverse Our co-founder was inspired to build Traverse Mobile while… Learn More →

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Announcing the First-Ever Neo4j Certification for Professionals

With the strong growth of deployments of Neo4j by enterprise customers and users in all industries, we’ve been asked time and again to provide a certification mechanism that allows Neo4j experts to prove their expertise. In today’s job market, NoSQL… Learn More →

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CyGraph: Cybersecurity Situational Awareness That’s More Scalable, Flexible & Comprehensive

Preventing and reacting to attacks in cyberspace involves a complex and rapidly changing milieu of factors, requiring a flexible architecture for advanced analytics, queries and graph visualization. Information Overload in Security Analytics Cyber warfare is conducted in complex environments, with… Learn More →

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From Good to Graph: Choosing the Right Database [GraphConnect Preview]

For many of us, it feels like software development has well and thoroughly moved into the NoSQL database era. However, recent studies suggest that adoption is still as low as 20%. Personally, I joined the NoSQL movement in 2008 when… Learn More →

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Integration Testing with Neo4j using C# [Community Post]

Unlike prototypical unit testing which is designed to focus on small units of isolated code, integration testing is a type of testing which is typically designed to test interactions between two or more interconnected parts of a software system. A… Learn More →

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Graph Databases for Beginners: Other Graph Data Technologies

Whether you’re new to the world of graph databases or an old pro, it’s easy to assume there’s only a few types of graph database technologies. In reality, it’s one of the most diverse sectors of the NoSQL ecosystem. In… Learn More →

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Graph Databases for Beginners: A Tour of Aggregate Stores

The world of NoSQL databases is far from uniform. Unlike relational databases (RDBMS) which are fairly uniform, the ecosystem of NoSQL technologies brims with diversity. In order to understand the trade-offs of each NoSQL database, it’s essential that we tour… Learn More →

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Graph Databases for Beginners: ACID vs. BASE Explained

When it comes to NoSQL databases, data consistency models can sometimes be strikingly different than those used by relational databases (as well as quite different from other NoSQL stores). The two most common consistency models are known by the acronyms… Learn More →

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