Gradoop is an open source (ALv2) research framework for scalable graph analytics built on top of Apache Flink™. It offers a graph data model which extends the widespread property graph model by the concept of logical graphs and further provides operators that can be applied on single logical graphs and collections of logical graphs. The combination of these operators allows the flexible, declarative definition of graph analytical workflows. Gradoop can be easily integrated in a workflow which already uses Flink™ operators and Flink™ libraries (i.e. Gelly, ML and Table).

Gradoop is work in progress which means APIs may change. It is currently used as a proof of concept implementation and far from production ready.