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The Impact of Columnar In-Memory Databases on Enterprise Systems: Implications of Eliminating Transaction-Maintained Aggregates

Summary: Columnar in-memory DBs can support transactional workloads, allowing analytics directly on a redundancy-free schema. Eliminating transaction-maintained aggregates reduces write complexity, simplifies data models, and shifts workloads to read-heavy analytics on live data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11053
Venue
VLDB
Year
2014
Pagerank
7.0313122e-05
Overall Rank
3,902 | 73.23%
DOI
10.14778/2733004.2733025

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{plattner_vldb14,
        title = {{The Impact of Columnar In-Memory Databases on Enterprise Systems: Implications of Eliminating Transaction-Maintained Aggregates}},
        author = {Plattner, Hasso},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1722--1733},
        doi = {10.14778/2733004.2733025},
        url = {https://doi.org/10.14778/2733004.2733025},
        year = {2014}
}

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