Facebook Graph Search and Graph Databases
When I heard the news about Facebook’s Graph Search, and quickly surmised that it is the same use of the word “graph” that I’ve come to use, I began to put together a blog entry about how this is a use of a graph database. That is, until Emil Efrin’s blog came out today, which explains it quite well: http://blog.neo4j.org/.
Emil is the CEO of Neo4j, a partner company to McKnight Consulting Group and owner of technology that I’m in an immersive learning cycle with right now. As Emil says, “Companies wanting functionality like Graph Search are a click away from getting the tools they need to build it. Until a decade ago, one can now find commercial off-the-shelf graph databases that are proven and robust, and built from the ground up to support connected data.” When “relationships are the data,” graph databases make sense. Examples are bioinformatics, fraud detection, network management, logistics and, of course, finding the New York sushi restaurants that your friends like.