Enter the Warp: Fast and Adaptive Data Transfer with XDBC
Summary: Enter the Warp is an interactive SIGMOD demonstration of XDBC, a modular data-transfer framework that combines interchangeable physical operators with automatic, environment-aware tuning. Its space-mission game exposes throughput trade-offs through live metrics and hands-on parameter optimization. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Haralampos Gavriilidis (Berlin Institute for the Foundations of Learning and Data; Technical University of Berlin)
- 2. Joel Ziegler (Technical University of Berlin)
- 3. Midhun Kaippillil Venugopalan (Technical University of Berlin)
- 4. Benedikt Didrich (Technical University of Berlin)
- 5. Matthias Boehm (Berlin Institute for the Foundations of Learning and Data; Technical University of Berlin)
- 6. Volker Markl (Berlin Institute for the Foundations of Learning and Data; German National Research Center for Information Technology; Technical University of Berlin)
BibTeX Citation
@article{gavriilidis_vldb25,
title = {{Enter the Warp: Fast and Adaptive Data Transfer with XDBC}},
author = {Gavriilidis, Haralampos and Ziegler, Joel and Venugopalan, Midhun Kaippillil and Didrich, Benedikt and Boehm, Matthias and Markl, Volker},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5315--5318},
doi = {10.14778/3750601.3750660},
url = {https://doi.org/10.14778/3750601.3750660},
year = {2025}
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,036 | Don’t Hold My Data Hostage – A Case For Client Protocol Redesign | 2017 | VLDB | 6.9436548e-05 |
| 5,319 | xPAD: A Platform for Analytic Data Flows | 2013 | SIGMOD | 6.2671857e-05 |
| 6,628 | ConnectorX: Accelerating Data Loading From Databases to Dataframes | 2022 | VLDB | 5.8197537e-05 |
| 10,761 | Fast and Scalable Data Transfer Across Data Systems | 2025 | SIGMOD | 5.093636e-05 |
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