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
- 2. Siyang Weng
- 3. Zhicheng Pan
- 4. Rong Zhang
- 5. Chengcheng Yang
- 6. Peng Cai
- 7. Xuan Zhou
- 8. Quanqing Xu
- 9. Chuanhui Yang
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