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Demonstration: MacroBase, A Fast Data Analysis Engine

Summary: MacroBase is a fast streaming analytics engine, acting as a search engine over streams with optimized, modular operators for streaming feature transformation, classification, and explanation. Interactive, query-driven pipelines for real-time attention. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5421
Venue
SIGMOD
Year
2017
Pagerank
5.3894205e-05
Overall Rank
8,660 | 40.59%
DOI
10.1145/3035918.3056446

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{bailis_sigmod17,
        title = {{Demonstration: MacroBase, A Fast Data Analysis Engine}},
        author = {Bailis, Peter and Gan, Edward and Rong, Kexin and Suri, Sahaana},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3056446},
        url = {https://dl.acm.org/doi/10.1145/3035918.3056446},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,117 Chi: A Scalable and Programmable Control Plane for Distributed Stream Processing Systems 2018 VLDB 7.7382559e-05
6,045 Helios: Hyperscale Indexing for the Cloud & Edge 2020 VLDB 5.9957544e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,792 MacroBase: Prioritizing Attention in Fast Data 2017 SIGMOD 9.7436856e-05
11,962 Prioritizing Attention in Fast Data: Principles and Promise 2017 CIDR 5.093636e-05
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