Comparative Analysis of Multi-model Databases

BACHELOR THESIS ABSTRACT Eldar Guliyev Comparative Analysis of Multi-model Databases The thesis is devoted to performance analysis of multi-model database management systems. Data models, multi-model DBMS and query languages were studied. Based on comparison of existing database benchmarks and multi-model DBMS functionality, requirements to the benchmarking process were identified. For the performance benchmarking, a cross-platform benchmarking application with graphical user interface was designed and implemented. The benchmarking application has a plugin architecture giving the possibility to create a DLL-plugin and test a DBMS which is not supported in the initial release. ArangoDB, RavenDB and MongoDB were tested with focus on document and graph data models