Big Data 2017
Scalable time-versioning support for property graph databases
When graphs change over time, it is important to make the changes trackable for many graph-based applications. We propose an implementation of OLTP-oriented graph database that supports time-versioning. There has been a few snapshot-based approaches for supporting time-versions, but they usually require the full-restoration of the graph, and lack the resolution of the time space. Using a B-tree as the datastructure for the backend storage, our database allow fast and scalable support for restoring the arbitrary part of the graph, without slowing down the normal accesses to the current graph. Experimental results show that our scheme is much efficient than the straightforward solutions, in terms of space and performance.