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Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics

Summary: Profiling-driven, architecture-level comparison of MapReduce and Spark across shuffle, execution model, and caching, with tools linking task plans to resource use. Spark is ~2.5x–5x faster on WordCount, k-means, and PageRank; gains from hash-based aggregation and RDD caching, while MapReduce wins Sort via shuffle efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11316
Venue
VLDB
Year
2015
Pagerank
6.8319812e-05
Overall Rank
4,208 | 71.14%
DOI
10.14778/2831360.2831365

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{shi_vldb15,
        title = {{Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics}},
        author = {Shi, Juwei and Qiu, Yunjie and Minhas, Umar Farooq and Jiao, Limei and Wang, Chen and Reinwald, Berthold and Özcan, Fatma},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {13},
        doi = {10.14778/2831360.2831365},
        url = {https://doi.org/10.14778/2831360.2831365},
        year = {2015}
}

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