Comparative analysis of data persistence technologies for large-scale models

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Scalability in Model-Driven Engineering (MDE) is often a bottleneck for industrial applications. Industrial scale models need to be persisted in a way that allows for their seamless and efficient manipulation, often by multiple stakeholders simultaneously. This paper compares the conventional and commonly used persistence mechanisms in MDE with novel approaches such as the use of graph-based NoSQL databases; Prototype integrations of Neo4J and OrientDB with EMF are used to compare with relational database, XMI and document-based NoSQL database persistence mechanisms. Benchmarking of these technologies is then performed, to measure and compare their relative performance in terms of memory usage and execution time.
Original languageEnglish
Title of host publicationXM '12 Proceedings of the 2012 Extreme Modeling Workshop
Number of pages6
ISBN (Print)978-1-4503-1804-4
Publication statusPublished - 1 Oct 2012
EventExtreme Modeling Workshop (XM), MoDELS 2012 - Innsbruck, Austria
Duration: 30 Sept 20125 Oct 2012


ConferenceExtreme Modeling Workshop (XM), MoDELS 2012

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