263: How Neo4j Graph Database Is Unlocking the Value of Data Relationships
Neo Technology is the creator of Neo4j, the world’s leading graph database. Neo4j is a highly scalable native graph database that leverages data relationships as first-class entities to help companies build intelligent applications that meet today’s evolving connected data challenges including fraud detection, real-time recommendations, master data management, network security and IT operations.
Global enterprises like Walmart, UBS, Cisco, HP, Adidas Group and Lufthansa and hot startups like Medium, Qualia and Glowbl rely on Neo4j to harness the connections in their data. With $36M in new funding secured last year, Graph Databases are rapidly becoming an enterprise standard.
Jeff Morris is the head of product marketing at Neo Technology, helping enterprise customers see their world as “graphs” through the connections and relationships they hold with customers, processes, systems and data assets.
Graph databases describe both the data and the relationships and connections among the data. IoT, for example, is nothing but connections. So is LinkedIn, FB or your online dating site. Retail recommendation engines, fraud detection, social maps and knowledge graphs are great examples of what they help users build. Applications that include dense networks, artificial intelligence, machine learning or natural language processing need a graph database as its foundation.