Publication entry:

DortDB: Bridging Query Languages for Multi-Model Data Ponds

Full citation: Ježek, F., Koupil, P., Kopecký, M., Bártík, J., & Holubová, I. (2025). DortDB: Bridging query languages for multi-model data ponds. Proceedings of the VLDB Endowment, 18(12), 5335–5338.
BibTeX citation file download: jezek2025dortdb.bib

Internal authors

Pavel Koupil

Assistant professor

Michal Kopecký

Lecturer

Jáchym Bártík

PhD student

Irena Holubová

Associate professor

Research topics

Multi-model databases

Relatively recently emerged NoSQL and other modern database management systems allowed to deploy databases based on other logical models than just the traditional relational. Unfortunately, the number of available models, formats, implementations, and query languages the existing systems exploit, often proprietary, is not sustainable from a longer perspective. Therefore we focus on various aspects of efficient and unified management of multi-model data, including conceptual modeling, schema inference, unified querying, or evolution management.