DortDB: Bridging Query Languages for Multi-Model Data Ponds
Summary: DortDB: an extensible framework that bridges heterogeneous query languages to enable composable cross-model queries over multi-model data ponds via a unified algebra for expression, optimization, and rewriting. Small in‑memory prototype demonstrates feasibility and path to distributed deployments. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Filip Ježek (Charles University)
- 2. Pavel Koupil (Charles University)
- 3. Michal Kopecký (Charles University)
- 4. Jáchym Bártík (Charles University)
- 5. Irena Holubová (Charles University)
BibTeX Citation
@article{jezek_vldb25,
title = {{DortDB: Bridging Query Languages for Multi-Model Data Ponds}},
author = {Ježek, Filip and Koupil, Pavel and Kopecký, Michal and Bártík, Jáchym and Holubová, Irena},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5335--5338},
doi = {10.14778/3750601.3750665},
url = {https://doi.org/10.14778/3750601.3750665},
year = {2025}
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Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,618 | The Myria Big Data Management and Analytics System and Cloud Service | 2017 | CIDR | 7.2523695e-05 |
| 6,208 | The CloudMdsQL Multistore System | 2016 | SIGMOD | 5.9427898e-05 |
| 7,148 | Optimization of Nested Queries using the NF2 Algebra | 2016 | SIGMOD | 5.6896396e-05 |
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