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Composable Data Management: An Execution Overview

Summary: Survey of composable execution engines for data management—APIs, extensibility, and integrations (Velox; Prestissimo; Gluten) for reusable execution stacks. Focus on analytics performance: vectorized and compressed execution, adaptivity, and hardware-acceleration prospects. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13816
Venue
VLDB
Year
2024
Pagerank
5.3554382e-05
Overall Rank
8,862 | 39.20%
DOI
10.14778/3685800.3685847

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{pedreira_vldb24,
        title = {{Composable Data Management: An Execution Overview}},
        author = {Pedreira, Pedro and Majeti, Deepak and Erling, Orri},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {12},
        pages = {4249--4252},
        doi = {10.14778/3685800.3685847},
        url = {https://doi.org/10.14778/3685800.3685847},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
9,277 F3: The Open-Source Data File Format for the Future 2026 SIGMOD 5.2937431e-05
10,491 Reducing Tail Latency in Storage-Disaggregated Database Systems 2026 SIGMOD 5.093636e-05
11,296 Simple (yet Efficient) Function Authoring for Vectorized Engines 2024 VLDB 5.093636e-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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