- Harvest new market opportunities by creating products and services that leverage data relationships
- Reimagine existing applications to innovate with data relationships, and in the process improve efficiency and performance, lower costs, and increase the value of your existing data
White PaperWhere does sustainable competitive advantage come from? It’s not from data volume or velocities, but from the knowledge of relationships in your data. Download the White Paper →
Analysts Predict Graph Databases Will Reach Some 25 percent of Enterprises by 2017Forrester Research analysts recently reported that graph databases—the fastest-growing category in database management systems—will reach more than 25 percent of enterprises by 2017. Additionally, Gartner Inc. named Neo Technology a Cool Vendor in DBMS, 2014, listed Neo4j among the ‘Who’s Who in NoSQL DBMSs’, and included Neo4j in the 2014 Magic Quadrant for Operational Database Management Systems (DBMS).
“Graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions after the design of data capture” — Gartner
Data Relationships Provide Value to Varied Use CasesOur customers, which include global firms in industries such as Financial Services, Insurance, Healthcare, Telecommunications, and Government, leverage data relationships to improve efforts in the following use cases:
- Master Data Management
- IT Configuration Management
- Graph-based search
- Fraud Detection
- Social capabilities
A Database Built Like A Whiteboard SketchHere’s how it works: the graph database stores and processes any kind of data by bringing relationships to the fore. A “graph” can be thought of like a whiteboard sketch: when you draw on a whiteboard with circles and lines, sketching out data, what you are drawing is a graph. Graph databases store and process data within the structure you’ve drawn, providing significant performance and ease-of-use advantages, plus unparalleled ease in evolving the data model. No other type of database does this. Because they are designed to do so, graph databases are becoming an essential tool in discovering, capturing, and making sense of intricate relationships and interdependencies. This not only provides significant IT efficiencies, but enables a next generation of functionality for businesses.
Customers Leapfrog Competition with Neo4jWith this new capability in hand, Zephyr Health Inc. built a cloud-based analytics platform that, for example, provides pharmaceutical companies the right doctors for clinical trials by leveraging data relationships among public and private information, such as specialty, geography and clinical trial history. “Neo4j has enabled us to expand beyond our initial limited use cases to address a much broader set of problems,” said Sven Junkergard, Chief Technology Officer, Zephyr Health Inc. (Source: TechValidate) Many other examples of new and revamped applications are in the making, supported by the value of data relationships that Neo4j offers. Throughout 2015, we will highlight the most interesting use cases to help you determine when your projects need a database that brings data relationships to the fore. To learn more about Sustainable Competitive Advantage, read our new white paper. Want to learn more about graph databases? Click below to get your free copy of O’Reilly’s Graph Databases ebook and discover how to use graph technologies for your application today. Download My Ebook
About the Author
Kamille Nixon, Product Team
Kamille Nixon provides marketing savvy and thought leadership about the positive impact of good technology design on business goals. Prior to this, Kamille identified through original research the trend that data governance would become a major market force in systems architecture and data modeling. She guided a leading database tools company to successfully tailor its offering for data governance before the rest of the market recognized the trend.