Dynamo: amazon's highly available key-value store
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
Bigtable: A Distributed Storage System for Structured Data
ACM Transactions on Computer Systems (TOCS)
MDE Adoption in Industry: Challenges and Success Criteria
Models in Software Engineering
Uniform Random Generation of Huge Metamodel Instances
ECMDA-FA '09 Proceedings of the 5th European Conference on Model Driven Architecture - Foundations and Applications
SQL databases v. NoSQL databases
Communications of the ACM
Cassandra: a decentralized structured storage system
ACM SIGOPS Operating Systems Review
Scalable SQL and NoSQL data stores
ACM SIGMOD Record
Morsa: a scalable approach for persisting and accessing large models
Proceedings of the 14th international conference on Model driven engineering languages and systems
Reference representation techniques for large models
Proceedings of the Workshop on Scalability in Model Driven Engineering
Hawk: towards a scalable model indexing architecture
Proceedings of the Workshop on Scalability in Model Driven Engineering
Querying large models efficiently
Information and Software Technology
A survey and comparison of transformation tools based on the transformation tool contest
Science of Computer Programming
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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.