TuskFlow: An Efficient Graph Database for Long-Running Transactions
Summary: TuskFlow (Neo4j-based) handles long-running "mammoth" graph transactions with a deterministic epoch protocol that reorders regular work and enables parallel mammoth execution. Graph-aware tagging and partitioning reduce conflicts, preserve transactional semantics, avoid blocking writes, and cut tail latency up to 45x. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Georgios Theodorakis (NVIDIA)
- 2. Hugo Firth (Neo4j)
- 3. James Clarkson (Neo4j)
- 4. Natacha Crooks (University of California Berkeley)
- 5. Jim Webber (Neo4j)
BibTeX Citation
@article{theodorakis_vldb25,
title = {{TuskFlow: An Efficient Graph Database for Long-Running Transactions}},
author = {Theodorakis, Georgios and Firth, Hugo and Clarkson, James and Crooks, Natacha and Webber, Jim},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {4777--4790},
doi = {10.14778/3750601.3750603},
url = {https://doi.org/10.14778/3750601.3750603},
year = {2025}
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