Neptune PageRank calculation

Amazon Neptune supports the OLTP implementation of Apache TinkerPop. Use of TinkerPop OLAP functions that require withComputer() are not supported (1). If looking to run graph algorithms on top of existing data within Neptune, you can leverage Apache Spark GraphFrames (2). You'll need to extract the data from Neptune to use GraphFrames and this can be done using the recently published Pandas integration (3). A common architecture is to store the PageRank scores back into the graph as a property on the related vertices. As the graph changes, a batch job would be required to extract the data from Neptune and re-run the PageRank calculations as needed.

(1) https://docs.aws.amazon.com/neptune/latest/userguide/gremlin-step-support.html#neptune-gremlin-steps-unsupported (2) https://towardsdatascience.com/graphframes-in-jupyter-a-practical-guide-9b3b346cebc5 (3) https://github.com/awslabs/aws-data-wrangler/blob/main/tutorials/033%20-%20Amazon%20Neptune.ipynb