Managing Network Operations with Graphs

Using Neo4j graph architecture to map and manage your network, you capture the complex connections of the systems, devices, services, applications and users across your enterprise. As you do, you maintain extreme visibility and control of your network, with the ability to handle problems rapidly as they arise now and in the future. Read more →

Neo4j Success Services

Graph Success Awaits You Ready to make Neo4j your graph application platform? To guarantee your success from the start, you can call on the largest collection of graph database services available anywhere. They include a worldwide community of developers, active… 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 →

Property Graphs: The Heart of Graph Databases

Graph databases make natural connections between customers, suppliers, orders, competitors, genes, crimes, documents, networked devices—and all the other connected elements of the modern world—to make recommendations, discover opportunities, expose hidden connections, and drive revenues in new and creative ways. A… Read more →