How graphs help marketers get super slick on user data

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2020 CRN Big Data 100: 12 Database System Companies to Consider

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COVID-19 with GraphXR and Neo4j

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We Build a Knowledge Graph on COVID-19

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Graph Databases for Beginners: Wait, What Do You Mean by “Graph”?

Learn the difference between a graph and a chart, including the basics of nodes and relationships as well as graph theory and its application to databases.

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Getting Started with the Microsoft Concept Graph in Neo4j

What does the study of concepts (or categories, depending on your field of study) tell us about the human mind? A result of the Probase research project, the Microsoft Concept Graph harnesses billions of web pages and search logs to build a huge graph of relations between words (like “apple”) and their concepts (like “fruit” or “hardware company”). Using this data, the team at Microsoft hopes to build better search engines, spell-checkers, recommendation engine, taxonomies and more.

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Why We Just Raised a $36M Series D – and What’s Next for the Graph Space

I’m incredibly excited to announce that the Neo4j team has just raised $36 million in a series D funding round. I am glad to welcome Greenbridge Investment Partners to the graph of Neo4j investors, and I’d like to thank all… 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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How Graphs Deliver our Strategic Vision at Packt Publishing

Editor’s Note: This presentation was given by Greg Roberts at GraphConnect Europe in April 2016. Here’s the TL;DR of what he covered: Automated metadata generation using Stack Overflow tags and topic keywords Adding an ontology for context Parsing ebooks for… Read more →

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The 5-Minute Interview: Kent Lovestjärna, Digital Media Manager at Hästens

For this week’s 5-Minute Interview, I caught up with Kent Lovestjärna, the Digital Media Manager at Hästens Sängar in Köping, Sweden. I chatted at Kent while we were at GraphConnect Europe. Here’s what we discussed: Q: Talk to me about… Read 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… Read more →

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Neo4j 3.0 and the Graph of the Universe

The Cosmic Web Paper by the Barabasi Lab After I came across this tweet the other night, Turns out the universe is just a very big graph database: https://t.co/tKkTLnNpqK pic.twitter.com/hh4s5pKWPI— David J Carr (@djc1805) April 22, 2016 I checked out… Read more →

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Your Technical Documentation Should Be a Graph: Here’s Why

TL;DR: This blog post is mainly about how technical documentation should ideally be structured: as a graph (not to be confused with a chart). As a software developer and author I have had the chance (and also the obligation) to… Read 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… Read more →

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Graphs Are Everywhere and Their Possibilities Are Endless

Graphs are everywhere, and with the ability of a graph database to solve multiple business problems, pre-empt potential situations and – most importantly – save companies huge amounts of money in the meantime, why shouldn’t you use Neo4j? Graphs in… Read more →

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RDBMS & Graphs: Graph Basics for the Relational Developer

We already know that relational databases aren’t always enough for handling the volume, velocity and variety of today’s data, but what’s the clear alternative? There are a lot of other database options out there – including a number of NoSQL… 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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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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The 5-Minute Interview: Karl Urich, DataFoxtrot

This week’s 5-minute interview is with Karl Urich, the President of DataFoxtrot based in Albany, New York. Karl is also a community contributor to the Neo4j blog. I chatted with Karl at GraphConnect San Francisco. Q: Can you tell us… Read more →

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7 Ways Your Data Is Telling You It’s a Graph

Editor’s Note: Last October at GraphConnect San Francisco, Karen Lopez – Senior Project Manager at InfoAdvisors – delivered a presentation on how to tell when your data will be best served by a graph database. For more videos from GraphConnect… Read more →

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