Data Consistency Models: ACID vs. BASE Explained

Learn the difference between ACID and BASE databases and the trade-offs and advantages each consistency model brings to your application’s backend.

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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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Graph Databases for Beginners: Why Graph Technology Is the Future

The world of graph technology has changed (and is still changing), so we’re rebooting our “Graph Databases for Beginners” series to reflect what’s new in the world of graph tech – while also helping newcomers catch up to speed with… Read more →

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5-Minute Interview: Graph Databases For Dummies with Dr. Jim Webber and Rik Van Bruggen

Recently we sat down with the authors of Graph Databases For Dummies, Neo4j Special Edition, Dr. Jim Webber and Rik Van Bruggen. Dr. Webber is Neo4j’s Chief Scientist and Mr. Van Bruggen leads the Neo4j sales team in Europe, and… Read more →

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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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Graph Databases for Beginners: The Basics of Graph ETL

Learn how ETL tools (extract, transform, load) work, including the basics of graph ETL, which converts relational databases to graph databases.

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Importing Data from the Web with Norconex & Neo4j

Dig down into the details on how to import data from the web with Norconex and Neo4j using the example of wine varietals.

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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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NoSQL Data Modeling: 5-Minute Interview with Pascal Desmarets

Check out this 5-minute interview with Pascal Desmarets, Founder and CEO of Hackolade, as he talks about NoSQL data modeling with Neo4j.

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Google Kubernetes Engine and Neo4j: Power Your Apps with Graphs

Discover the power of containers about Kubernetes’ GKE in combination with a Neo4j graph database to solve connected data problems.

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#GraphCast: The Jim Webber Show

Check out this week’s #GraphCast, featuring the Jim Webber Show: a video series on engineering insights (and Britishy humor) from Neo4j’s chief scientist.

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Graphs in Government: The Power of Graph Technology

The use cases for a graph database in government are endless. Graphs are versatile and dynamic. They are the key to solving the challenges you face in fulfilling your mission. Using real-world government use cases, this blog series explains how… Read more →

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Simplifying Identity Management: 5-Minute Interview with Alex Babeanu

“We’ve tried using LDAP. We’ve tried using SQL databases. It’s just a nightmare to be honest,” said Alex Babeanu, Identity Solutions Architect at Nulli. With smartphones, online services, smart devices, the number of identities that must be managed is exploding,… Read more →

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Leveraging Data Science Tools for Fraud Investigation

Editor’s Note: This presentation was given by Paul Starrett at GraphConnect New York in October 2017. Presentation Summary This blog focuses on how to take advantage of certain actively used data-science tools synergistically, and how to use a graph database… Read more →

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A Journey to the Graph Side: How (& Why) the Former CTO of MariaDB Joined Neo4j [Interview]

If you don’t know anything about MariaDB – and you’re reading a database blog remember – then you’re the exception. In 2018, MariaDB was the second-fastest-growing relational database (behind Postgres) and is a leading example of commercially supported open source… Read more →

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Graph Databases for Beginners: Other Graph Technologies

Back in the day (when Prussia was still a thing), Königsberg must have been a really boring place. That’s because the definition of fun in Königsberg was to walk around the city’s seven bridges and find a path that only… Read more →

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Graph Databases for Beginners: A (Brief) Tour of Aggregate Stores

In 1841, William Buckland was one of the first paleontologists to observe what today we call the Cambrian explosion. At the time, he naturally knew that it would become a favorite metaphor used the world over to describe whenever we… Read more →

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If You Build It They Will Come: Starting a GraphDB Meetup Where There Is None

About seven years ago, I came across Neo4j while trying to find a way to visually represent stored information and make connections like the human brain does. At the time, I only really needed to build an awesome recommendation engine… Read more →

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Interchangeable Parts: 5-Minute Interview with Preston Hendrickson, Principal Systems Analyst at CALIBRE

“It’s easy to teach people to use Neo4j. It’s hands-on training, not death by PowerPoint,” said Preston Hendrickson, Principal Systems Analyst at CALIBRE. CALIBRE works with large government customers, including the U.S. Army, where maintenance, operation and support costs of… Read more →

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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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Chip Design on Graphs: 5-Minute Interview with Chuck Calio, Offering Manager, IBM PowerAI

We use Neo4j to design our next-generation Power chips, said Chuck Calio, Offering Manager IBM PowerAI at IBM. The future of graph technology is in AI, but it’s not the only use case. From designing hardware (naturally a graph) to… Read more →

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Enterprise AI for IT Ops: 5-Minute Interview with Clayton Ching, Global Head of Customer Success at Digitate

“I believe everyone in the IT ops space is going to have to implement graph data a lot sooner than they think,” said Clayton Ching, Global Head of Customer Success at Digitate. IT operations is complex, with thousands of systems… 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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Which GraphConnect Training Should You Take? [Quiz]

It’s that time of year again. In less than five weeks, Emil will be getting on stage at GraphConnect 2018 in the heart to Times Square, NYC and announcing the new release of….wow, I think we’re getting a little ahead… Read more →

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Financial Risk Reporting: Building a Risk Metadata Foundation

Regulations, such as BCBS 239, are driving banks to reexamine the way they manage financial risk management data. Building a connected data foundation supports a world of innovative uses of your enterprise data – including 360-degree visibility of your customers,… Read more →

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