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)
Incoming Non-self Citations Over Time
Authors
- 1. Peter Bailis (Stanford University)
- 2. Edward Gan (Stanford University)
- 3. Kexin Rong (Stanford University)
- 4. Sahaana Suri (Stanford University)
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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