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ESTOCADA: Towards Scalable Polystore Systems

Summary: ESTOCADA makes polystores transparent: queries need not encode data placement or store-specific execution. Constraint-aware, view-based rewriting exploits redundant representations and materialized query results across heterogeneous stores. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12360
Venue
VLDB
Year
2020
Pagerank
5.9425753e-05
Overall Rank
6,215 | 57.37%
DOI
10.14778/3415478.3415516

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{alotaibi_vldb20,
        title = {{ESTOCADA: Towards Scalable Polystore Systems}},
        author = {Alotaibi, R. and Cautis, B. and Deutsch, A. and Latrache, M. and Manolescu, I. and Yang, Y.},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {2949--2952},
        doi = {10.14778/3415478.3415516},
        url = {https://doi.org/10.14778/3415478.3415516},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,999 HADAD: A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries 2021 SIGMOD 5.3354529e-05
11,045 SDG-KG: A Framework to Compute SDG Indicators with Open Data 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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