Transformations on Graph Databases for Polyglot Persistence with NotaQL

Abstract

Polyglot-persistence applications use a combination of many di erent data stores. Often, one of them is a graph database to model relationships between data items. The data-transformation language NotaQL can be used to define transformations from one NoSQL database to a di erent one. In this paper, we present a language extension for NotaQL to allow graph transformations, graph analysis, and data migrations on graph databases. NotaQL is schema-flexible, it o ers filters and aggregation functions, and it allows for graph traversal and edge creation. Our graph-transformation platform can be used for iterative graph algorithms and bulk processing.