The ROI on Connected Data:
Extract More Value from Existing Data Using Graphs [+ Telia Case Study]

From LinkedIn to Facebook to Google, top companies are driving their businesses using graphs. And use cases span industries as well. What those new to graph technology may not understand is that creating a graph does not require starting from… Read more →

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It’s Time for a Single Property Graph Query Language [Vote Now]

The time has come to create a single, unified property graph query language. Different languages for different products help no one. We’ve heard from the graph community that a common query language would be powerful: more developers with transferable expertise;… Read more →

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This Week in Neo4j – 3 June 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: Niklas Saers This week’s featured community member is Niklas Saers, iOS Lead at… Read more →

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openCypher – the SQL of Graphs – Hosts First Implementers Meeting (oCIM)

I’ve only been on the Neo4j team for eight months, but it’s been a hectic and fascinating introduction to the world of graph data management. During my career I’ve been back and forth between software product companies (from the very… Read more →

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Oracle RDBMS + Neo4j: Migrate All the Data into Neo4j

There are many use cases and scenarios where it makes sense to use Oracle RDBMS in tandem with the Neo4j graph database, whether you’re migrating a subset of data or constantly syncing both graph and relational datasets. However, sometimes circumstances… Read more →

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Oracle RDBMS + Neo4j: Fully Sync Relational and Graph Data

Using the Neo4j graph database doesn’t have to be opposed to your existing Oracle RDBMS infrastructure. In fact, the two can work together. One of many ways Neo4j works alongside Oracle RDBMS is to have all data fully synchronized between… Read more →

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From the Neo4j Community: November 2016

2016 was a big year for graphs, and the proof is in all of the awesome projects created by the Neo4j community. As we look forward to what 2017 has for the world of graph databases, let’s take a look… Read more →

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Oracle RDBMS + Neo4j: Migrate or Sync a Subset of Data

There are several ways that Neo4j can work with Oracle RDBMS (or any other RDBMS). The approach you take depends on what your enterprise is trying to achieve. In this Neo4j and Oracle blog series, we’ll explore how these two… Read more →

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3 Advantages of Using Neo4j Alongside Oracle RDBMS

The rising popularity of graph databases is a trend that developers and data architects can no longer ignore. At the same time, well-established relational database management systems (RDBMS) like Oracle aren’t going anywhere soon. Oracle RDBMS is the backbone of… Read more →

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The 5-Minute Interview: Tim Williamson, Data Scientist, Monsanto

For this week’s 5-Minute Interview, I sat down with Tim Williamson, a Data Scientist at Monsanto. I interviewed Tim at GraphConnect San Francisco after his popular presentation: “Graphs Are Feeding the World.” Tell us a little bit about your role… Read more →

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How Neo4j Co-exists with Oracle RDBMS: An Introduction to Graphs

Let’s be honest. No one can argue about the value of the Oracle RDBMS database. Oracle is and continues to be the mainstay for enterprise applications. However, another – but not contradictory – truth remains: IT organizations need capabilities beyond… Read more →

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Graphs Are Feeding the World

Editor’s Note: This presentation was given by Tim Williamson at GraphConnect San Francisco in October 2015. Here’s a quick review of what he covered: The needs of a growing population Leaps in scientific research Increasing crop yields with graph databases… Read more →

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Neo4j with Scala: Migrate Data from Other Databases to 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. This was originally posted on the Knoldus blog and was used with permission.] Editor’s Note: For… Read more →

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Introducing GraphAware Databridge: Graph Data Import Made Simple

GraphAware is a Gold sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Introduction Until now, Neo4j users wanting to import data into Neo4j have been faced with two choices: Create Cypher statements… Read more →

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The 5-Minute Interview: Axel Morgner, Founder & CEO of Structr

For this week’s 5-Minute Interview, I chatted with Axel Morgner, Founder and CEO at Structr in Frankfurt, Germany. I caught up with Axel at GraphConnect Europe last April. Here’s what we covered: For people who may not be familiar, what… Read more →

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The 5-Minute Interview: Luanne Misquitta, Senior Consultant at GraphAware

For this week’s 5-Minute Interview, I interviewed Luanne Misquitta, Senior Consultant at GraphAware. Luanne and I caught up at GraphConnect Europe last April. Here’s what we talked about: Can you tell us a little bit about Spring Data Neo4j? Luanne… Read more →

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Semantic PDM: Using a Graph Data Model at Schleich

What we’re going to be talking about today is how the German toy manufacturer Schleich uses a graph data model to track all the elements related to toy production. I’ve been an engineer in Germany for the last 25 years,… Read more →

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Accelerate Your Career with This Neo4j Course by Edureka [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.] The Evolution of the Neo4j Graph Database In the past, the data industry stored information in… Read more →

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Meet openCypher: The SQL for Graphs

If you haven’t just heard the news from my keynote presentation at GraphConnect San Francisco, you missed what I believe is going to be a defining moment not only for Neo4j but the entire world of graph technologies. Setting aside… Read 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… Read more →

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The Secret to More Efficient Data Science with Neo4j and R [OSCON Preview]

It’s a sad but true fact: Most data scientists spend 50-80% of their time cleaning and munging data and only a fraction of their time actually building predictive models. This is most often true in a traditional stack, where most… Read more →

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