Demonstration of VegaPlus: Optimizing Declarative Visualization Languages
Summary: Demonstrates VegaPlus, offloading heavy visualization computations to a DBMS for scalable big-data rendering. Live Vega specs, showing optimized plans, plan edits, and a performance dashboard to compare executions. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Junran Yang (University of Washington)
- 2. Hyekang Kevin Joo (University of Maryland)
- 3. Sai S. Yerramreddy (University of Maryland)
- 4. Siyao Li (University of Maryland)
- 5. Dominik Moritz (Carnegie Mellon University)
- 6. Leilani Battle (University of Washington)
BibTeX Citation
@inproceedings{yang_sigmod22,
title = {{Demonstration of VegaPlus: Optimizing Declarative Visualization Languages}},
author = {Yang, Junran and Joo, Hyekang Kevin and Yerramreddy, Sai S. and Li, Siyao and Moritz, Dominik and Battle, Leilani},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3520168},
url = {https://dl.acm.org/doi/10.1145/3514221.3520168},
year = {2022}
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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 |
|---|---|---|---|---|
| 71 | DuckDB: an Embeddable Analytical Database | 2019 | SIGMOD | 0.00037720227 |
| 1,608 | Dynamic Prefetching of Data Tiles for Interactive Visualization | 2016 | SIGMOD | 0.00010084292 |
| 1,797 | IDEBench: A Benchmark for Interactive Data Exploration | 2020 | SIGMOD | 9.6187325e-05 |
| 5,573 | Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data | 2020 | SIGMOD | 6.0794156e-05 |
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