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Hybrid Row-Column Partitioning in Teradata

Summary: Hybrid row-column partitioning in Teradata stores row, column, or mixed partitions under a unified storage layer. The paper covers implementation, partitioned-table query optimization, and a study on how partition choices shape mixed-workload performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11433
Venue
VLDB
Year
2016
Pagerank
5.3114559e-05
Overall Rank
9,159 | 37.17%
DOI
10.14778/3007263.3007275

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{alkateb_vldb16,
        title = {{Hybrid Row-Column Partitioning in Teradata}},
        author = {Al-Kateb, Mohammed and Sinclair, Paul and Au, Grace and Ballinger, Carrie},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {13},
        pages = {1353--1364},
        doi = {10.14778/3007263.3007275},
        url = {https://doi.org/10.14778/3007263.3007275},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
9,742 Unified Data Analytics: State-of-the-art and Open Problems 2022 VLDB 5.227679e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

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