viral

Graph Servers are a tough thing to build. Linkedin cheats by using 64GB of ram to hold the whole graph on one machine, but at some-point this does not scale. Let's discuss the definition of a graph server and identify some of the problems.

Since everything is going social, even our data, how do we manage massively linked data architectures? How do we search and index them? How does Hadoop and HBase work? Why are RDBMS's a pain in the ass for web scale social data?