HiEngine: How to Architect a Cloud-Native Memory-Optimized Database Engine
Summary: HiEngine introduces a hierarchical, cloud-native in-memory engine that combines main-memory performance with compute-side reliable persistence and compatibility with disk-centric systems. Integrated into GaussDB, it coexists with disk engines and achieves up to 7.5× speedups. (summarized by gpt-5.6-luna on Jul 21 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yunus Ma (Huawei Research Center)
- 2. Siphrey Xie (Huawei Research Center)
- 3. Henry Zhong (Huawei Research Center)
- 4. Leon Lee (Huawei Research Center)
- 5. King Lv (Huawei Research Center)
BibTeX Citation
@inproceedings{ma_sigmod22,
title = {{HiEngine: How to Architect a Cloud-Native Memory-Optimized Database Engine}},
author = {Ma, Yunus and Xie, Siphrey and Zhong, Henry and Lee, Leon and Lv, King},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3526043},
url = {https://dl.acm.org/doi/10.1145/3514221.3526043},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,915 | Krypton: Real-time Serving and Analytical SQL Engine at ByteDance | 2023 | VLDB | 5.5181056e-05 |
| 8,099 | Index Checkpoints for Instant Recovery in In-Memory Database Systems | 2022 | VLDB | 5.4873906e-05 |
| 10,659 | Boosting OLTP Performance with Per-Page Logging on NVDIMM | 2025 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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