DBScholar

Back to papers

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
11656
Venue
VLDB
Year
2017
Pagerank
5.5564458e-05
Overall Rank
7,733 | 46.95%
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.

Previous Page 1 / 1 Next

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
24 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00054865648
211 EmptyHeaded: A Relational Engine for Graph Processing 2016 SIGMOD 0.00024797217
411 Worst-case Optimal Join Algorithms 2012 PODS 0.00018902089
764 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00014226652
Previous Page 1 / 1 Next

Semantically Similar Papers