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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)

Paper ID
13910
Venue
VLDB
Year
2024
Pagerank
5.2209769e-05
Overall Rank
9,784 | 32.88%
DOI
10.14778/3704965.3704984

Incoming Non-self Citations Over Time

Authors

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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