Dynamic Graph Databases with Out-of-order Updates
Summary: HAL: an in-memory dynamic graph database that is first to support transactional out-of-order updates while optimizing for both high ingestion and efficient analytics. Shows up to 73x update throughput and 357x faster analytics versus comparable systems. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Angelos Christos Anadiotis (Oracle)
- 2. Muhammad Ghufran Khan (INRIA; Institut Polytechnique de Paris)
- 3. Ioana Manolescu (INRIA; Institut Polytechnique de Paris)
BibTeX Citation
@article{anadiotis_vldb24,
title = {{Dynamic Graph Databases with Out-of-order Updates}},
author = {Anadiotis, Angelos Christos and Khan, Muhammad Ghufran and Manolescu, Ioana},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {13},
pages = {4799--4812},
doi = {10.14778/3704965.3704984},
url = {https://doi.org/10.14778/3704965.3704984},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,450 | Enabling Efficient Direct Update on Rule-Based Compressed Graph | 2026 | SIGMOD | 5.093636e-05 |
| 10,707 | Catching up with Disorder: Dynamic Graphs with Out-of-Order Updates | 2025 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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