Storing and Traversing Graphs in ArangoDB by Frank Celler.
Description:
In this session we will use bibliographic data as an example of a large data-set with graph structure. In order to investigate this structure the data is imported into the multi-model database ArangoDB. This database allows to investigate and access the underlying graph: A query language gives you access to basic path structure. Graph traversals written in JavaScript allow you to explore that graph in-depth. Finally, a library of graph algorithms is available to look for hot-spots and the like.
Slides: http://fosdem.graph-database.org/fosdem-2013-slides/fceller-arangodb.pdf
ArangoDB supports its own query language as well as Gremlin.
Interesting for its use of JavaScript to explore the graph.
BTW, ArangoDB home.