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Vineyard: Optimizing Data Sharing in Data-Intensive Analytics

Summary: Vineyard is a cloud-native, extensible object store for zero-copy sharing of intermediate data across heterogeneous analytics systems. Its VCDL registers data types, enabling memory mapping and method sharing; evaluations report up to 68.4× faster data exchange. (summarized by gpt-5.6-luna on Jul 21 2026)

Paper ID
6764
Venue
SIGMOD
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,405 | 21.76%
DOI
10.1145/3589780

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Authors

BibTeX Citation

@inproceedings{yu_sigmod23,
        title = {{Vineyard: Optimizing Data Sharing in Data-Intensive Analytics}},
        author = {Yu, Wenyuan and He, Tao and Wang, Lei and Meng, Ke and Cao, Ye and Zhu, Diwen and Li, Sanhong and Zhou, Jingren},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589780},
        url = {https://dl.acm.org/doi/10.1145/3589780},
        year = {2023}
}

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Rank Citing Paper Year Venue Pagerank
9,593 GraphScope Flex: LEGO-like Graph Computing Stack 2024 SIGMOD 5.2511057e-05
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