White Papers

Industry Analysts Research, Use Cases and Business Intelligence

Industry Analysts Research

Forrester Research: How Monsanto Leverages Connected Data

Discover how Monsanto used Neo4j alongside Oracle RDBMS to leverage connected data across the enterprise. Read the Case Study »

Read this Bloor Research product sheet, independent analysis of the Neo4j graph database

Bloor Research Product Sheet: Neo4j

Bloor’s analyst report names Neo4j as the clear leader in the operational graph database space. Get the Report »

Bloor Group Product Watch: The Rise of the Graph Database

Nowhere is the case for NoSQL more solid than with graph databases like from Neo Technology. With graph queries you tend to want to navigate your way through a network of connections. Many, if not all of which, might be exactly the same kind of entity, such as a person, as illustrated in the graph, which shows a simple data network of customer information. Get the White Paper »

EMA research analysis: Graph Databases Solve Problems in Network and Data Center Management

Look closely at two deployments of Neo4j managing the complex interdependencies in network and data center operations. Get the White Paper »

Use Cases

Addressing Key Challenges in Financial Services with Neo4j

Financial services firms constantly have to fight financial crimes, prevent and respond to cyber threats and ensure compliance with evolving regulations. Doing this requires a database that can quickly and easily find relationships between data points — and Neo4j does just that. Get the White Paper »

Security & Access Control in Neo4j Enterprise

Look closely into Neo4j’s enterprise-grade security architecture raising the bar for safeguarding your data while meeting compliance requirements. Neo4j Enterprise now includes role-based authorization, support for LDAP/Active Directory, and Event Logging. Get the White Paper »

The Top 5 Use Cases of Graph Databases

Learn about the top five use cases of graph database technologies and see how your enterprise can leverage graph databases to generate competitive insights and significant business value from your connected data. Get the White Paper »

Fraud Detection: Discovering Connections with Graph Databases

Graph databases offer new methods of uncovering fraud rings and other sophisticated scams with a high-level of accuracy, and are capable of stopping advanced fraud scenarios in real-time. Get the White Paper »

Six Essential Skills for Mastering the Internet of Things

Graph databases enable you to represent thousands of interconnections, among all the devices, sensors, machines, and humans, which make up the Internet of Connected Things. Get the White Paper »

Powering Recommendations with a Graph Database

Graph databases can help you make connections with your users, increase accuracy and engagement, connect the dots between seemingly unrelated facts to infer interests, and offer a world of fresh possibility when it comes to making recommendations. Get the White Paper »

Your Master Data Is a Graph: Are You Ready?

Learn why your master data is a graph and how graph databases like Neo4j are the best technologies for MDM. Get the White Paper »

Business Intelligence

The Definitive Guide to Graph Databases for the RDBMS Developer

This ebook introduces you – the RDBMS developer – to a new technology that leverages data connections like never before: the graph database. Get the Ebook »

Overcoming SQL Strain and SQL Pain

Trying to answer questions about data relationships using a relational database involves numerous JOINs, resulting in database complexity and poor performance. Learn about the advantages of graph databases over RDBMS when working with highly connected data. Get the White Paper »

Sustainable Competitive Advantage: Creating Business Value through Data Relationships

Where does sustainable competitive advantage come from? It’s not from data volume or velocities, but from the knowledge of relationships in your data. Get the White Paper »

The Power of Graph-Based Search

With graph-based search, however, your organization (and your customers) are able to ask more precise and intelligent questions and receive more relevant information. Get the White Paper »

Overcoming SQL Strain and SQL Pain

Trying to answer questions about data relationships using a relational database involves numerous JOINs, resulting in database complexity and poor performance. Learn about the advantages of graph databases over RDBMS when working with highly connected data. Get the White Paper »

How Neo4j Co-exists with Oracle RDBMS

By adding Neo4j to your database architecture, you combine your existing Oracle RDBMS infrastructure with the power of a graph database to uncover rich data connections, reduce time to market and run more efficient queries. Get the White Paper »

The 2016 State of the Graph Report

Graph database users across the globe responded to the State of the Graph survey, sharing their thoughts on the current graph space – and what they predict for the future. Get the White Paper »

Graph Databases for the Enterprise Architects

Learn how graph databases are in the “Big Data Business” and discover the benefits of using Neo4j from the perspective of Enterprise Architects. Get the White Paper »

NoSQL, Big Data, and Graphs

It used to be that databases were just tasked with digitizing forms and automating business processes. The data was often tabular – take an accounting ledger, for example –and the processes being modeled were reasonably static. Today, the types of data that we are interested in are much more diverse and dynamic. Get the White Paper »

Understanding Neo4j Scalability

Scalability means different things to different people. The Neo4j scalability package is known as high availability, or HA. This whitepaper helps you understand what it means to scale with Neo4j, and what HA provides. Get the White Paper »