Faster Visual Analytics through Pixel-Perfect Aggregation

Summary: Introduces pixel-aware aggregation that models rendering to fetch only the points needed per screen pixel while preserving pixel-perfect plots. Query-level reduction operators trade milliseconds of database work for drastic bandwidth savings and near-real-time visualization of millions of time-series points. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: h378c2aca450718eb
Venue: VLDB
Year: 2014
Pagerank: 5.1079617e-05
Overall Rank: 9,934 | 33.21%
DOI: 10.14778/2733004.2733066

Incoming Non-self Citations Over Time

Authors

1. Uwe Jugel (SAP)
2. Zbigniew Jerzak (SAP)
3. Gregor Hackenbroich (SAP)
4. Volker Markl (Technical University of Berlin)

BibTeX Citation

@article{jugel_vldb14,
        title = {{Faster Visual Analytics through Pixel-Perfect Aggregation}},
        author = {Jugel, Uwe and Jerzak, Zbigniew and Hackenbroich, Gregor and Markl, Volker},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1705--1708},
        doi = {10.14778/2733004.2733066},
        url = {https://doi.org/10.14778/2733004.2733066},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
6,875	Towards Democratizing Relational Data Visualization	2019	SIGMOD	5.6589849e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
1,500	M4: A Visualization-Oriented Time Series Data Aggregation	2014	VLDB	0.0001046347
3,652	Extreme Visualization: Squeezing a Billion Records into a Million Pixels	2008	SIGMOD	7.1312298e-05

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