APOC 1.1.0 Release: Awesome Procedures on Cypher

I’m super thrilled to announce last week’s 1.1.0 release of the Awesome Procedures on Cypher (APOC). A lot of new and cool stuff has been added and some issues have been fixed. Thanks to everyone who contributed to the procedure… Learn More →

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py2neo 3.1: The World’s Most Amazing Python Driver for Neo4j

Even though we’ve now released officially supported drivers for Java, Python, JavaScript and .NET, many of the community drivers are still going strong. Indeed, version 3.1 of my own community driver py2neo was released this week and with it came… Learn More →

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How We Use Neo4j to Manage Microservices at Veneto Banca

Thinking, designing and implementing an enterprise multi-channel architecture and platform is a challenging opportunity. For the last couple of years we’ve been involved in this huge project at Veneto Banca, and our mission was the innovation of the bank’s information… 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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DB-Engines, Informix and Neo4j: An Origins Story

A funny thing happened four-ish weeks ago. On March 1st, the database industry monitor DB-Engines published their usual monthly ranking report for the world’s most popular database management systems. For the first time, Neo4j was listed in the top 20.… Learn More →

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RDBMS & Graphs: Drivers for Connecting to a Graph Database

Up to this point in this blog series, we’ve covered graph databases in general, only using Neo4j when examples were required. However, when it comes to connecting your application to a graph database, specifics are essential. In this RDBMS &… Learn More →

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The 5-Minute Interview: John Mark Suhy, CTO of PureThink

For this week’s 5-Minute Interview, I caught up with John Mark Suhy, the CTO of PureThink – the exclusive provider of Neo4j Government Edition to U.S. federal, state, Department of Defense and intelligence agencies. Q: Can you talk to me… Learn More →

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3 RDBMS & Graph Database Deployment Strategies (Polyglot & More)

Whether you’re ready to move your entire legacy RDBMS into a graph database, you’re syncing databases for polyglot persistence or you’re just conducting a brief proof of concept, at some point you’ll want to bring a graph database into your… Learn More →

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RDBMS & Graphs: SQL vs. Cypher Query Languages

When it comes to a database query language, linguistic efficiency matters. Querying relational databases is easy with SQL. As a declarative query language, SQL allows both for easy ad hoc querying in a database tool as well as specifying use-case… Learn More →

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Why Enterprises Are Abandoning RDBMS (and Adopting Graphs)

Relational databases (RDBMS) were conceived to digitize paper forms and automate well-structured business processes, and they are still extremely relevant today. But, many companies are choosing to explore other database options to solve some of their biggest challenges. Why? The… Learn More →

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RDBMS & Graphs: Relational vs. Graph Data Modeling

In some regards, graph databases are like the next generation of relational databases, but with first class support for “relationships,” or those implicit connections indicated via foreign keys in traditional relational databases. Each node (entity or attribute) in a native… Learn 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… Learn 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… Learn More →

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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 →

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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 →

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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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