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In-Memory for the Masses: Enabling Cost-Efficient Deployments of In-Memory Data Management Platforms for Business Applications

Summary: Examines cost-efficient deployment of in-memory DBMSs such as SAP HANA for mixed OLTP/OLAP business workloads. Focuses on reducing DRAM-driven hardware and cloud costs while preserving performance, freshness, and flexibility. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12134
Venue
VLDB
Year
2019
Pagerank
5.227679e-05
Overall Rank
9,745 | 33.15%
DOI
10.14778/3352063.3352142

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{boehm_vldb19,
        title = {{In-Memory for the Masses: Enabling Cost-Efficient Deployments of In-Memory Data Management Platforms for Business Applications}},
        author = {Boehm, Alexander},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {2273--2274},
        doi = {10.14778/3352063.3352142},
        url = {https://doi.org/10.14778/3352063.3352142},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,613 Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications 2022 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

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

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