ChainDash: An Ad-Hoc Blockchain Data Analytics System
Summary: ChainDash enables efficient ad-hoc graph analytics over live and historical blockchain data by combining a highly-parallelized data synchronization pipeline with a retrieval-optimized temporal graph store. Supports fast arbitrary-time-window snapshots and interactive smart-contract activity exploration. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Yushi Liu (Ant Financial; East China Normal University; Ministry of Education)
- 2. Liwei Yuan (Ant Financial)
- 3. Zhihao Chen (Ant Financial; East China Normal University; Ministry of Education)
- 4. Yekai Yu (Ant Financial; East China Normal University; Ministry of Education)
- 5. Zhao Zhang (East China Normal University; Ministry of Education)
- 6. Cheqing Jin (East China Normal University; Ministry of Education)
- 7. Ying Yan (Ant Financial)
BibTeX Citation
@article{liu_vldb23,
title = {{ChainDash: An Ad-Hoc Blockchain Data Analytics System}},
author = {Liu, Yushi and Yuan, Liwei and Chen, Zhihao and Yu, Yekai and Zhang, Zhao and Jin, Cheqing and Yan, Ying},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {4022--4025},
doi = {10.14778/3611540.3611611},
url = {https://doi.org/10.14778/3611540.3611611},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,247 | Spectrum: Speedy and Strictly-Deterministic Smart Contract Transactions for Blockchain Ledgers | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,226 | LiveGraph: A Transactional Graph Storage System with Purely Sequential Adjacency List Scans | 2020 | VLDB | 0.00011589731 |
| 4,691 | Fast Processing and Querying of 170TB of Genomics Data via a Repeated And Merged BloOm Filter (RAMBO) | 2021 | SIGMOD | 6.5609196e-05 |
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