Social graphs are a prime example of utilizing the graph model, Dr. Xu (PhD from UCSD) was working at Twitter till 2011, and the graph databases that were around at the time could not cope.
He has 26 patents in distributed systems & databases, led Teradata's big data initiatives, and worked on Twitter's distributed data infrastructure. So when faced with that problem, Xu saw an opportunity and went off to create a solution.
Xu founded GraphSQL in 2012 and has been working with a team of 30 engineers since. Today GraphSQL is officially entering a new stage in its development, including a new name: TigerGraph.
The product is now generally available, a series A founding round of US$33 million is announced and a hosted version of TigerGraph based on Amazon EC2 is launching.
TigerGraph also supports different graph partitioning algorithms enabling it to split very large graphs over a distributed architecture. This can be done either automatically, or as specified by users using application-specific partitioning strategies.
There probably is a hefty price tag that goes with TigerGraph, but for the ones that can afford it, it looks like it can deliver some substantial benefits.
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