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Ariadne: Online Provenance for Big Graph Analytics

Summary: Ariadne provides online provenance capture and querying for vertex-centric graph analytics, where provenance can explode beyond the input graph due to iteration. A Datalog-based declarative language enables inline querying and execution monitoring, achieving ~1.3x overhead versus 8x for traditional approaches and enabling performance-aware analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5684
Venue
SIGMOD
Year
2019
Pagerank
5.093636e-05
Overall Rank
11,842 | 18.76%
DOI
10.1145/3299869.3300091

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BibTeX Citation

@inproceedings{papavasileiou_sigmod19,
        title = {{Ariadne: Online Provenance for Big Graph Analytics}},
        author = {Papavasileiou, Vicky and Yocum, Ken and Deutsch, Alin},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3300091},
        url = {https://dl.acm.org/doi/10.1145/3299869.3300091},
        year = {2019}
}

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