What’s in Neo4j Enterprise Edition?

Neo4j recommends using its Enterprise Edition rather than our open-source Community Edition when your applications have large graphs or require high levels of performance, scalability, security, data integrity or availability. The Enterprise Edition provides developers with the design, development, maintenance… 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 →

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 →