Relationships Drive Real-Time Recommendations

Real-time recommendations have taken their place as a crucial part of today’s online experience. After starting in the online dating and e-commerce sectors, recommendations are now being used in all industries as merchants and service providers rush to provide personalized,… Read more →

Why Graph Database is Superior for GDPR

The complex data lineage problems posed by the European Union’s General Data Privacy Regulation (GDPR) are impossible to solve with relational and most NoSQL technologies. A modern graph database platform like Neo4j is a superior foundation for addressing the connected… Read more →

openCypher: Evolving the Cypher Standard

It’s Time for Graph Standards Over the last decade, graph database technology has grown from a promising curiosity to the fastest growing sector of the database market. The parallelisms to the relational database market of 30 years ago are striking:… Read more →

Connected Data Cripples Relational Performance

Faceoff: Relational vs. Graph Graph database vendors spend a lot of energy explaining how much faster graph technology is for running queries on connected data. But how much faster is it? The more connected your data is, and the more… Read more →

The Native Path to Graph Performance

It’s All in the Relationships Like a complex system grid or an air-traffic-control map, a graph database is represented as a network of nodes and connections called a labeled property graph. The nodes, which appear as circles or squares, represent… Read more →

The Rules of Native Graph Databases

Graph database management systems must model, manage and access data and their relationships entirely through native data storage and graph processing methods. To be a native graph DBMS, a technology must conform with these basic rules. Relational and NoSQL databases… Read more →

Moving from Relational to Relationships

Modern Data Breaks Relational Models Since the 1980s, the relational database has been the preferred platform for enterprise software applications that process highly structured data. But the demands of modern business trigger seismic shifts that push relational models to their… Read more →

Cypher: The SQL for Graph Databases

What is Cypher? To provide an easy way to visualize and navigate the relationship paths and information in graph datasets, you use property graphs. Developers can use the Neo4j Browser to visualize graphs, run ad hoc queries and view their… Read more →

Reasons for Using Graph Technology

Built for the Modern World There are many technical reasons why a graph database platform is far superior to other technologies for connected-data applications — power, performance, flexibility, and developer productivity to name a few. Those technical advantages drive very… Read more →