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ByteGraph: A High-Performance Distributed Graph Database in ByteDance

Summary: ByteGraph is a high-performance distributed graph DB tailored to ByteDance’s multi-workload graph data (OLAP, transactional, serving), targeting throughput, low latency, and scalability. It uses edge-trees for parallel, memory-efficient adjacency; adaptive thread pools and indexes; and geographic replication for fault tolerance; deployed in production for years. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12997
Venue
VLDB
Year
2022
Pagerank
6.6382612e-05
Overall Rank
4,544 | 68.83%
DOI
10.14778/3554821.3554824

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb22,
        title = {{ByteGraph: A High-Performance Distributed Graph Database in ByteDance}},
        author = {Li, Changji and Chen, Hongzhi and Zhang, Shuai and Hu, Yingqian and Chen, Chao and Zhang, Zhenjie and Li, Meng and Li, Xiangchen and Han, Dongqing and Chen, Xiaohui and Wang, Xudong and Zhu, Huiming and Fu, Xuwei and Wu, Tingwei and Tan, Hongfei and Ding, Hengtian and Liu, Mengjin and Wang, Kangcheng and Ye, Ting and Li, Lei and Li, Xin and Wang, Yu and Zheng, Chenguang and Yang, Hao and Cheng, James},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {12},
        pages = {3306--3318},
        doi = {10.14778/3554821.3554824},
        url = {https://doi.org/10.14778/3554821.3554824},
        year = {2022}
}

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