What do consumer giants such as LinkedIn, Facebook and Google have in common?
Apart from being used daily (okay hourly) by all of us, and the subject of “I wish had invested in them early AND held their stock” regret, they all use proprietary versions of graph technology. It helps them continuously deliver relevant information through easy to use interfaces.
What are graphs good for and how do they work? In a nutshell, graphs are able to make sense of large datasets, by quickly determining how different data points are related or how similar they are. They allow “real-world” relationships between people, products and their activities to be captured and analyzed. Much has been written about the growing popularity of graph databases and techniques and how they are being used.
LinkedIn has its Economic Graph, Facebook the Social Graph and Google their Knowledge Graph. They have all developed proprietary graph capabilities to give them the flexibility to extend and scale beyond the limitations of traditional graph databases.
@Reltio we have followed their lead because we believe that ever changing and evolving market, business and regulatory conditions continue to dictate that enterprises must rapidly adapt. This means business users need applications that they can rely on everyday to help guide them so they can meet those challenges head-on.
While off-the-shelf graph databases are powerful, it still boils down to how you build contextual applications on top of the stored data. Not everyone has the means or appetite to purchase a graph database and continuously update and feed data into it AND custom develop, manage and maintaining business applications on top to use the data.
We developed the Reltio Self-Learning Graph to work under the covers as part of the Reltio Cloud, with a key ingredient of reliable data. Enterprise data needs to be trusted and of higher quality than consumer information. By fusing together reliable master data, relevant big data insights and recommended actions, we believe business users can finally have enterprise-grade data-driven applications with the same agility, flexibility and ease-of-use of their consumer counterparts.