Cedar: A Columnar LSM-Engine for Temporal Property Graphs
Summary: Cedar is an LSM-based columnar engine that models vertices and edges as atomic temporal events in an append-only stream with fixed 32-byte keys. A version-chain SkipList and Zone-Columnar layout jointly improve ingestion, storage density, and temporal analytics. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Yang Wang (Beihang University)
- 2. Xuelian Lin (Beihang University)
- 3. Jinghe Song (Beihang University)
- 4. Jianyong Zhu (North China Electric Power University)
- 5. Yu Zhao (Chinese Academy of Sciences)
- 6. Shuai Ma (Beihang University)
BibTeX Citation
@article{wang_vldb26,
title = {{Cedar: A Columnar LSM-Engine for Temporal Property Graphs}},
author = {Wang, Yang and Lin, Xuelian and Song, Jinghe and Zhu, Jianyong and Zhao, Yu and Ma, Shuai},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4790--4793},
doi = {10.14778/3827998.3828123},
url = {https://doi.org/10.14778/3827998.3828123},
year = {2026}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,210 | AeonG: An Efficient Built-in Temporal Support in Graph Databases | 2024 | VLDB | 6.2257162e-05 |
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