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RawVis: A System for Efficient In-situ Visual Analytics

Summary: RawVis, an open-source system, enables in-situ visual analytics on huge raw data without preprocessing or loading into a DB. Novel indexing schemes and adaptive processing allow direct operations on data files with real-time interactivity on commodity hardware. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6108
Venue
SIGMOD
Year
2021
Pagerank
5.3058708e-05
Overall Rank
9,203 | 36.86%
DOI
10.1145/3448016.3452764

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{maroulis_sigmod21,
        title = {{RawVis: A System for Efficient In-situ Visual Analytics}},
        author = {Maroulis, Stavros and Bikakis, Nikos and Papastefanatos, George and Vassiliadis, Panos and Vassiliou, Yannis},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452764},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452764},
        year = {2021}
}

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