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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Wenyuan Yu (Alibaba)
- 2. Tao He (Alibaba)
- 3. Lei Wang (Alibaba)
- 4. Ke Meng (Alibaba)
- 5. Ye Cao (Alibaba)
- 6. Diwen Zhu (Alibaba)
- 7. Sanhong Li (Alibaba)
- 8. Jingren Zhou (Alibaba)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,593 | GraphScope Flex: LEGO-like Graph Computing Stack | 2024 | SIGMOD | 5.2511057e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 223 | AliGraph: A Comprehensive Graph Neural Network Platform | 2019 | VLDB | 0.00024182473 |
| 956 | Parallelizing Sequential Graph Computations | 2017 | SIGMOD | 0.0001297452 |
| 1,226 | LiveGraph: A Transactional Graph Storage System with Purely Sequential Adjacency List Scans | 2020 | VLDB | 0.00011589731 |
| 2,915 | GraphScope: A Unified Engine For Big Graph Processing | 2021 | VLDB | 7.9666977e-05 |
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