GES: High-Performance Graph Processing Engine and Service in Huawei
Summary: GES is a composable graph DBMS with a highly factorized query executor, enabling massive concurrent workloads. It dominates the LDBC-SNB-DECLARATIVE benchmark, surpassing the runner-up by over three orders of magnitude and delivering exceptional throughput and cost efficiency. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Sen Gao (Huawei; Shanghai Jiao Tong University)
- 2. Jianwen Zhao (Huawei)
- 3. Hao Zhang (Huawei)
- 4. Shixuan Sun (Shanghai Jiao Tong University)
- 5. Chen Liang (Huawei)
- 6. Gongye Chen (Huawei)
- 7. Wenliang Zhang (Huawei)
- 8. Bo Ren (Huawei)
- 9. Chao Liu (Huawei)
- 10. Chenyi Zhang (Huawei)
- 11. Quan Chen (Shanghai Jiao Tong University)
- 12. Chao Li (Shanghai Jiao Tong University)
- 13. Jingwen Leng (Shanghai Jiao Tong University)
- 14. Minyi Guo (Shanghai Jiao Tong University)
BibTeX Citation
@inproceedings{gao_sigmod25,
title = {{GES: High-Performance Graph Processing Engine and Service in Huawei}},
author = {Gao, Sen and Zhao, Jianwen and Zhang, Hao and Sun, Shixuan and Liang, Chen and Chen, Gongye and Zhang, Wenliang and Ren, Bo and Liu, Chao and Zhang, Chenyi and Chen, Quan and Li, Chao and Leng, Jingwen and Guo, Minyi},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3724439},
url = {https://dl.acm.org/doi/10.1145/3722212.3724439},
year = {2025}
}
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