Abstract
In this work we present Digree, a system prototype that enables distributed execution of graph pattern matching queries in a cloud of interconnected graph databases. We explain how a graph query can be decomposed into independent sub-patterns that are processed in parallel by the distributed independent graph database systems and how the results are finally synthesized at a master node. We experimentally compare a prototype of our system against a popular big data engine and show that Digree provides significantly faster query execution.
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