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SparkR: Scaling R Programs with Spark

Summary: R's single-threaded nature and memory limits curb interactive analytics. SparkR adds an R frontend to Apache Spark, enabling scalable, distributed data analysis from the R shell via Spark's DataFrame API and distributed computation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5261
Venue
SIGMOD
Year
2016
Pagerank
5.7508365e-05
Overall Rank
6,865 | 52.91%
DOI
10.1145/2882903.2903740

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{venkataraman_sigmod16,
        title = {{SparkR: Scaling R Programs with Spark}},
        author = {Venkataraman, Shivaram and Yang, Zongheng and Liu, Davies and Liang, Eric and Falaki, Hossein and Meng, Xiangrui and Xin, Reynold and Ghodsi, Ali and Franklin, Michael and Stoica, Ion and Zaharia, Matei},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2903740},
        url = {https://dl.acm.org/doi/10.1145/2882903.2903740},
        year = {2016}
}

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