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Off-the-shelf Data Analytics on Serverless

Summary: Demonstrates how to transparently run off-the-shelf distributed analytics engines on existing commercial serverless platforms (e.g., unmodified Apache Spark and Drill on AWS Lambda) by adding a thin runtime layer. Presents TPC-H results and a roadmap to make serverless a general-purpose analytics substrate. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
505
Venue
CIDR
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,112 | 23.77%
DOI
-

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@inproceedings{wawrzoniak_cidr24,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '24},
        title = {{Off-the-shelf Data Analytics on Serverless}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Wawrzoniak, Michael and Moro, Gianluca and Bruno, Rodrigo and Klimovic, Ana and Alonso, Gustavo},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
10,121 End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure 2026 CIDR 5.093636e-05
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