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anagodb: Offering Massive Parallelism for Database Engine

Summary: anagodb - a research prototype - implements OoODE to massively parallelize analytical queries via recursive task decomposition. Cloud-based demo with a visual client reports progress and hardware metrics, illustrating strong hardware utilization and speedups for selective analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7190
Venue
SIGMOD
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,704 | 26.57%
DOI
10.1145/3722212.3725079

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Authors

BibTeX Citation

@inproceedings{hayamizu_sigmod25,
        title = {{anagodb: Offering Massive Parallelism for Database Engine}},
        author = {Hayamizu, Yuto and Kawamichi, Ryoji and Ozawa, Tsuyoshi and Kitsuregawa, Masaru and Goda, Kazuo},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3722212.3725079},
        url = {https://dl.acm.org/doi/10.1145/3722212.3725079},
        year = {2025}
}

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