Optimizing Dataflow Systems for Scalable Interactive Visualization
Summary: VegaPlus fuses visualization with back-end optimization for dashboards. An optimizer reasons about plans on Vega and the DBMS, accounts for UI-driven changes, and can rewrite plans; benchmarks on seven dashboards show gains vs standard optimizers. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Junran Yang (University of Washington)
- 2. Hyekang Kevin Joo (Carnegie Mellon University)
- 3. Sai Yerramreddy (University of Maryland)
- 4. Dominik Moritz (Carnegie Mellon University)
- 5. Leilani Battle (University of Washington)
BibTeX Citation
@inproceedings{yang_sigmod24,
title = {{Optimizing Dataflow Systems for Scalable Interactive Visualization}},
author = {Yang, Junran and Joo, Hyekang Kevin and Yerramreddy, Sai and Moritz, Dominik and Battle, Leilani},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3639276},
url = {https://dl.acm.org/doi/10.1145/3639276},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,650 | Physical Visualization Design: Decoupling Interface and System Design | 2025 | SIGMOD | 5.7046144e-05 |
| 11,225 | Mosaic: An Architecture for Linking Databases and Scalable Interactive Visualizations | 2025 | SIGMOD | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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