We explore the benefits of using time-series databases to store models data. Thanks to this we can now query historical model information and perform advanced time-series analysis on it, especially useful when dealing with run-time models.
Code-generation from UML models to a number of SQL and NoSQL platforms. Including the possibility of running OCL queries on top of this combination of platforms.
Most NoSQL database systems do not require the definition of schemas but this does not mean such schema does not (implicitly) exist. We have implemented a model-driven reverse engineering approach to infer such NoSQL implicit schemas
See how you can use Telosys as a “development accelerator” for your next project. Thanks to its pragmatic approach, it allows for a quick start of very different kinds of projects.
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
