Emil Eifrem, CEO of Neo Technology recently wrote an article highlighting the recent rise in graph database adoption. He writes, “Graph databases are the most scalable, high performance way to query and store highly interconnected data. They help improve intelligence, predictive analytics, social network analysis, decision and process management – which all involve highly connected data with lots of relationships. A relevant use case for graph databases is the social graph. The social graph leverages information across a range of networks to understand the relationships between individuals. Facebook, LinkedIn and Amazon are all examples of companies that derived tremendous value from leveraging social and professional graphs and providing a deeper analysis of the data they collect every day. The biggest challenge that companies face is the ability to handle the exponential growth and massive connected data challenges associated with the social graph.” Read more here.

In related news, Oracle recently changed the name of Oracle Spatial to Oracle Spatial and Graph “to highlight the existing graph capabilities in Oracle Spatial and in recognition of the increasing market demand for graph database capabilities. One example of this is IBM’s recent announcement of the DB2 10.1 NoSQL Graph data store, an RDF graph capability. Oracle Database has supported native graphs as a feature since Oracle Spatial 10g. Oracle Spatial and Graph includes support for RDF semantic graphs used in social networks and social interactions to address requirements from the research, health sciences,  finance, media and intelligence communities. It also includes Network Data Model (NDM) graphs used in traditional network applications in major transportation, telcos, utilities and energy organizations. These are proven, robust graph database technologies.” Read more here.

Image: Courtesy Neo Technology