G-Tran: A High Performance Distributed Graph Database with a Decentralized Architecture
Summary: RDMA-enabled, fully decentralized in-memory graph DB with a graph-native store to maximize locality for graph transactions. Proposes MV-OCC with optimizations for large read/write sets under serializable and snapshot isolation, leveraging RDMA and an MPP model for high throughput and competitive results. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Hongzhi Chen (Chinese University of Hong Kong)
- 2. Changji Li (Chinese University of Hong Kong)
- 3. Chenguang Zheng (Chinese University of Hong Kong)
- 4. Chenghuan Huang (Chinese University of Hong Kong)
- 5. Juncheng Fang (Chinese University of Hong Kong)
- 6. James Cheng (Chinese University of Hong Kong)
- 7. Jian Zhang (Chinese University of Hong Kong)
BibTeX Citation
@article{chen_vldb22,
title = {{G-Tran: A High Performance Distributed Graph Database with a Decentralized Architecture}},
author = {Chen, Hongzhi and Li, Changji and Zheng, Chenguang and Huang, Chenghuan and Fang, Juncheng and Cheng, James and Zhang, Jian},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2545--2558},
doi = {10.14778/3551793.3551813},
url = {https://doi.org/10.14778/3551793.3551813},
year = {2022}
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