Vodka: Rethink Benchmarking Philosophy in HTAP Systems
Summary: Vodka is an HTAP benchmark that jointly evaluates resource isolation, consistency, and data sharing by enforcing consistent workload complexity via formalized manipulation of query operator cardinalities across data sizes. Introduces column-value-grained versioning for query-oriented freshness and a lightweight point-query method to precisely measure synchronization and data-sharing efficiency. (summarized by gpt-5-mini on Mar 13 2026)
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Authors
- 1. Zirui Hu (East China Normal University)
- 2. Siyang Weng (East China Normal University)
- 3. Zhicheng Pan (East China Normal University)
- 4. Rong Zhang (East China Normal University)
- 5. Chengcheng Yang (East China Normal University)
- 6. Peng Cai (East China Normal University)
- 7. Xuan Zhou (East China Normal University)
- 8. Quanqing Xu (OceanBase, Ant Group)
- 9. Chuanhui Yang (OceanBase, Ant Group)
BibTeX Citation
@article{hu_vldb26,
title = {{Vodka: Rethink Benchmarking Philosophy in HTAP Systems}},
author = {Hu, Zirui and Weng, Siyang and Pan, Zhicheng and Zhang, Rong and Yang, Chengcheng and Cai, Peng and Zhou, Xuan and Xu, Quanqing and Yang, Chuanhui},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {3},
pages = {481--494},
doi = {10.14778/3778092.3778107},
url = {https://doi.org/10.14778/3778092.3778107},
year = {2026}
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