How Graph Databases Ensure Sustainable Competitive Advantage

Where does sustainable competitive advantage come from? It’s not from data volume or velocities, but from the knowledge of data relationships. Even three years ago, you may not have given your database choice much thought – after all, if you… Learn More →


The Competitive Advantage of Graph Databases in the Enterprise

“Big data” grows bigger every year, but today’s enterprise leaders don’t only need to manage larger volumes of data – they critically need to generate insight from their existing data. So how should CIOs and CTOs generate those insights? To… Learn More →


From Good to Graph: Choosing the Right Database

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 →


Graph Databases for Beginners: Why a Database Query Language Matters

Finding the best database for your application or development stack is about more than just features, scalability and performance. While all of those are essential, there’s another element of a graph database too many architects overlook: the database query language.… Learn More →


Don’t Let an RDBMS Sabotage Your Query Performance

It’s true that relational databases have their perfect use cases. For consistent, tabular data whose schema rarely changes, an RDBMS solution might be the perfect fit. But what about if your data is highly interconnected? Or if your database schema… Learn More →


Graph Databases for Beginners: The Basics of Data Modeling

Your enterprise data is everywhere – emails, reports, user logs – yet most of it isn’t structured into any logical framework. When it comes to creating a new application or data solution, you need to provide a structure for that… Learn More →


New Neo4j Course: Stop Developing Databases the Hard Way! [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.]Back in early 2013, I was working on an RDBMS project with Java. The project goals required… Learn More →


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… Learn More →


Graph Databases for Beginners: Why Data Relationships Matter

We live in an ever-more-connected world, and data relationships, will only increase in years to come. If your business is to succeed in a highly connected world, you must learn to leverage those connections for all they’re worth – but… Learn More →


Uncovering Open Source Community Stories with 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.] Every dataset has a story to tell — we just need the right tools to find… Learn More →


5 Sure Signs It’s Time to Give Up Your Relational Database

Despite advances in computing, faster processors and high-speed networks, the performance of relational database applications is becoming slower and slower. These performance problems are happening because of the rapid growth not only in the volume and velocity of data, but… Learn More →


Graph Databases for Beginners: Why Graphs Are the Future

So you’ve heard about graph databases and you want to know what all the buzz is about. Are they just a passing trend – here today and gone tomorrow – or are they a rising tide your business and your… Learn More →


Inside Analysis: The Graph Database and the RDF Database

Written by Robin Bloor, posted on Inside Analysis Inside Analysis: The Graph Database and the RDF Database In a twist that has inevitable written all over it, the database industry has at last begun to take heed of the power… Learn More →


Data Migration between MySQL and Neo4j

Many organizations that are looking at modeling highly connected data to add business intelligence or analytical capabilities using Neo4j already have a database in place. Introducing a graph database into the mix does not have to be a disruptive process.… Learn More →


REST::Neo4p – A Perl “OGM”

REST::Neo4p – A Perl “OGM” This is a guest post by Mark A. Jensen, a DC area bioinformatics scientist. Thanks a lot Mark for writing the impressive Neo4j Perl library and taking the time to documenting it thoroughly. You might… Learn More →


Cypher – A view from a recovering SQL DBA

Through the eyes of a SQL master, Cypher looks different yet somehow familiar. In this humorous and insightful blog post, Andrés Taylor guides you along the mental shift required to grok querying Neo4j. Through progressive examples, he presents SQL queries… Learn More →



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