English

NHtapDB: Native HTAP Databases

Databases 2023-02-21 v1

Abstract

Native database (1) provides a near-data machine learning framework to facilitate generating real-time business insight, and predefined change thresholds will trigger online training and deployment of new models, and (2) offers a mixed-format store to guarantee the performance of HTAP workloads, especially the hybrid workloads that consist of OLAP queries in-between online transactions. We make rigorous test plans for native database with an enhanced state-of-the-art HTAP benchmark.

Keywords

Cite

@article{arxiv.2302.09927,
  title  = {NHtapDB: Native HTAP Databases},
  author = {Guoxin Kang and Lei Wang and Simin Chen and Jianfeng Zhan},
  journal= {arXiv preprint arXiv:2302.09927},
  year   = {2023}
}
R2 v1 2026-06-28T08:44:26.466Z