Validate efficiently large models using OCL rewriting techniques and optimized database query generation using the Mogwaï tool.
Summary of our contributions towards a scalable query and transformation modeling framework able to handle very large models
Gremlin-ATL is a scalable and efficient model-to-model transformation framework that translates ATL transformations into Gremlin, a query language supported by several NoSQL databases
NeoEMF is a multi-database model persistence solution, that is able to store models in several kind of NoSQL datastores, including graph, map and column databases
Few solutions target UML to NoSQL code-generation and even less consider OCL constraints. We present a UML/OCL transformation to Blueprints, an abstraction layer on top of a variety of graph databases