Neo provides a data storage solution built from the ground up to store graph-structured data, unlike Tao which simply acts as a layer on top of an inherently relational storage model.
While this seems like a good thing, the details provided in the paper about how performant the system is and how they achieved this are very sparse (essentially nonexistent). I would be very curious to know more about how this performs as opposed to traditional databases and NoSQL stores, and if it does perform well, how they managed to achieve this. It read almost like a marketing document more so than an academic document.
The traverser / navigational model is interesting, and I would be curious to see how more complex queries are written in this manner. If the data really is naturally graph-structured, it seems that it would probably be intuitive to write queries in this way, but without any examples I am unsure if that intuition is correct.
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