Modern data ecosystems mix relational tables, JSON documents, graphs, streams, and more—plus both OLTP and OLAP workloads. PolyDBMSs expose one logical DBMS over many models and engines: they accept multiple query languages, plan and route cross-model queries, and blend transactional and analytical processing (HTAP). This tutorial explains the idea, positions it among polystores, multistores, and multi-model DBs, and then puts it into practice with Polypheny.
We start with the landscape—polyglot persistence, multistores, polystores, multi-model DBs—then focus on PolyDBMSs as a unifying approach. We unpack architectural building blocks (catalog, parsers, language mappings, optimizer/routing, transaction and workload management) and show how cross-model, cross-engine execution works. Finally, we run a hands-on session with Polypheny covering data integration, schema design across models, and cross-model queries.
This tutorial is for database and big data practitioners and researchers, including data architects, DBAs, system builders, and data scientists, who need to combine multiple data models, engines, and workloads without gluing systems together manually. Basic familiarity with databases and query languages is sufficient.
This is a two-hour session mixing an overview with a practical demo. Exact start time and room will be posted here once assigned by the conference.
| Time | Topic | Details |
|---|---|---|
| 11:00 | Welcome & goals | Session overview and logistics |
| TBD | Concepts: From polystores to PolyDBMS | Definitions, motivations, and landscape |
| TBD | Architecture | Integrating heterogeneous stores, language mappings, execution |
| TBD | Cross-model queries & workloads | OLTP↔OLAP spectrum, HTAP, routing |
| TBD | Hands-on: Polypheny | Data integration, schema, queries; live demo |
| TBD | Q&A and pointers | Resources and next steps |
Postdoctoral researcher and lecturer (University of Basel) and co-founder of Polypheny GmbH. Research on multimodel data and heterogeneous workloads; initiator of the Polypheny project.
Full Professor of Computer Science at the University of Basel; leads the Databases and Information Systems group. Research in Big Data Management and (Multimedia) Retrieval.
Slides and links will be added here as they become available.
Slides will be posted here. Check back closer to the tutorial date.