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Rank Join Queries in NoSQL Databases

Summary: First study of top-k rank joins in cloud NoSQL systems, spanning MapReduce baselines, inverted-index and adapted rank-join methods. Introduces histogram/Bloom-filter structures with distributed construction, online updates, and cost/network-aware evaluation on Hadoop/HBase and EC2. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11116
Venue
VLDB
Year
2014
Pagerank
5.2608378e-05
Overall Rank
9,497 | 34.85%
DOI
10.14778/2732286.2732291

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ntarmos_vldb14,
        title = {{Rank Join Queries in NoSQL Databases}},
        author = {Ntarmos, Nikos and Patlakas, Ioannis and Triantafillou, Peter},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {7},
        pages = {493--504},
        doi = {10.14778/2732286.2732291},
        url = {https://doi.org/10.14778/2732286.2732291},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
8,894 Distributed Evaluation of Top-k Temporal Joins 2016 SIGMOD 5.3504579e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

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

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