Neo4j Business Edge is an expanding educational knowledge base intended to explain the benefits of Neo4j’s graph database platform to executives, business users and other non-technical professionals.

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 →

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 →

Licensing Neo4j

Flexible Licensing Corporations, institutions, software vendors, and internet service providers use Neo4j to build real-time, connected-data applications. To continue and strengthen Neo4j’s role as the world’s leading graph database platform, we offer choices in how you can create and deploy your… Read more →

Recommendations Are Appearing Everywhere

After launching in the world of social networks and dating sites, highly-targeted recommendations have become a vital part of shopping, networking and service websites worldwide. Businesses of all kinds are incorporating personalized recommendations into their online marketing strategies. And the… Read more →

Real-Time Recommendations in the Real World

The earliest commercial leaders using graph databases as a core technology platform were internet giants like Google, Facebook and LinkedIn. While those pioneers had to build their own in-house solutions from scratch, Neo4j now offers a commercially-ready graph application platform… Read more →

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 →

Graph Databases for Identity and Access Management

The growth of enterprise networks and the explosion of connected devices has turned Identity and Access Management (IAM) into one of the top concerns of IT organizations across the globe. IAM services authenticate users at sign-on and authorize which resources… Read more →

The Fastest Path to GDPR Compliance

Europe Protects Personal Data Privacy A seismic shift occurs in the data management world in May 2018 when the General Data Protection Regulation becomes law in the European Union. All organizations with information about European residents must comply with new,… 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 →

Neo4j Production Support Success

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 →

Graph-Based Master Data Management

What is Master Data? To use consistent versions of crucial operating data in systems across your organization, you need a central source of master data—which includes information about your customers, products, business units, locations, suppliers, partners, processes and policies. Why… 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 →

Properties: 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 →