As more businesses realized that data, in all forms and sizes, is critical to making the best possible decisions, we see the continued growth of systems that support a massive volume of non-relational or unstructured forms of data. Our research focus is to develop new theories and algorithms of a novel multi-model database management system to manage both well-structured data and NoSQL data. Our approach will reduce integration issues, simplify operations, and eliminate migration issues between relational and NoSQL data.
A video to introduce Multi-model databases: Link
Selected papers:
Jiaheng Lu, Irena Holubova : Multi-model Databases: A New Journey to Handle the Variety of Data, ACM Computing Surveys 2019
Jiaheng Lu, Irena Holubova, Bogdan Cautis: Multi-model Databases and Tightly Integrated Polystores CIKM 2018 Tutorial
Jiaheng Lu, Irena Holubova: Multi-model Data Management: What's New and What's Next? EDBT 2017 Tutorial
Chao Zhang, Jiaheng Lu, Pengfei Xu, Yuxing Chen: UniBench: A Benchmark for Multi-model Database Management Systems. TPCTC 2018: 7-23