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Mind the Gap: Bridging Multi-Domain Query Workloads with EmptyHeaded

Summary: Demonstrates EmptyHeaded, a unified interactive engine spanning relational, graph, and linear-algebra workloads without costly data movement. Its architecture combines worst-case-optimal join processing with automated in-query transformations, exposing trade-offs via Jupyter. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
he06d1ccf8228014e
Venue
VLDB
Year
2017
Pagerank
5.4365458e-05
Overall Rank
7,867 | 47.11%
DOI
10.14778/3137765.3137780

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{aberger_vldb17,
        title = {{Mind the Gap: Bridging Multi-Domain Query Workloads with EmptyHeaded}},
        author = {Aberger, Christopher R. and Lamb, Andrew and Olukotun, Kunle and Ré, Christopher},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {12},
        pages = {1849--1862},
        doi = {10.14778/3137765.3137780},
        url = {https://doi.org/10.14778/3137765.3137780},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

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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
23 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00055406774
208 EmptyHeaded: A Relational Engine for Graph Processing 2016 SIGMOD 0.00024884544
402 Worst-case Optimal Join Algorithms 2012 PODS 0.00019104625
777 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00014054709
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