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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)

Paper ID
6443
Venue
SIGMOD
Year
2022
Pagerank
5.093636e-05
Overall Rank
11,549 | 20.77%
DOI
10.1145/3514221.3520168

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Authors

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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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
103 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00034161428
1,585 Dynamic Prefetching of Data Tiles for Interactive Visualization 2016 SIGMOD 0.00010288399
1,767 IDEBench: A Benchmark for Interactive Data Exploration 2020 SIGMOD 9.805856e-05
5,524 Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data 2020 SIGMOD 6.1868208e-05
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