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MacroBase: Prioritizing Attention in Fast Data

Summary: MacroBase prioritizes end-user attention in high-volume fast data streams and acts as a search engine for fast data. It delivers accurate, scalable classifications with explanations over groups, powered by a reservoir sampler and heavy-hitters sketch that reach up to 2M events/sec per core and see deployment in telematics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
haf683f8e1be6fa37
Venue
SIGMOD
Year
2017
Pagerank
9.5405247e-05
Overall Rank
1,833 | 87.68%
DOI
10.1145/3035918.3035928

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{bailis_sigmod17,
        title = {{MacroBase: Prioritizing Attention in Fast Data}},
        author = {Bailis, Peter and Gan, Edward and Madden, Samuel and Narayanan, Deepak 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 = {10.1145/3035918.3035928},
        url = {https://dl.acm.org/doi/10.1145/3035918.3035928},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 31 of 31 citing papers.

Rank Citing Paper Year Venue Pagerank
271 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.00022560564
1,255 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011325762
1,544 Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series 2021 VLDB 0.00010304574
2,160 DIFF: A Relational Interface for Large-Scale Data Explanation 2019 VLDB 8.9364035e-05
2,798 Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries 2018 VLDB 7.9933329e-05
3,514 Sketching Linear Classifiers over Data Streams 2018 SIGMOD 7.2429609e-05
4,103 AutoOD: Automatic Outlier Detection 2023 SIGMOD 6.8066074e-05
4,171 Data Integration and Machine Learning: A Natural Synergy 2018 SIGMOD 6.7608137e-05
4,261 MorphoSys: Automatic Physical Design Metamorphosis for Distributed Database Systems 2020 VLDB 6.6992113e-05
4,431 ASAP: Prioritizing Attention via Time Series Smoothing 2017 VLDB 6.6020898e-05
4,558 Scalable Kernel Density Classification via Threshold-Based Pruning 2017 SIGMOD 6.5350309e-05
4,609 ExplainIt! - A Declarative Root-cause Analysis Engine for Time Series Data 2019 SIGMOD 6.503039e-05
4,686 A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System 2022 VLDB 6.4708106e-05
4,982 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.328859e-05
7,028 Explaining Inference Queries with Bayesian Optimization 2021 VLDB 5.6177289e-05
7,183 DataPrism: Exposing Disconnect between Data and Systems 2022 SIGMOD 5.5917354e-05
7,415 Data Integration and Machine Learning: A Natural Synergy 2018 VLDB 5.5332662e-05
7,626 BugDoc: Algorithms to Debug Computational Processes 2020 SIGMOD 5.4814815e-05
7,701 Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams 2022 VLDB 5.474978e-05
7,924 Outlier Summarization via Human Interpretable Rules 2024 VLDB 5.425954e-05
8,090 Sentinel: Understanding Data Systems 2020 SIGMOD 5.3942942e-05
8,810 Demonstration: MacroBase, A Fast Data Analysis Engine 2017 SIGMOD 5.2723423e-05
9,028 A Distributed System for Large-scale n-gram Language Models at Tencent 2019 VLDB 5.2343288e-05
9,338 A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection 2021 VLDB 5.1911033e-05
9,509 Panakos: Chasing the Tails for Multidimensional Data Streams 2023 VLDB 5.1707704e-05
9,884 TSExplain: Surfacing Evolving Explanations for Time Series 2021 SIGMOD 5.1169323e-05
10,188 Reptile: Aggregation-level Explanations for Hierarchical Data 2022 SIGMOD 5.0651993e-05
11,101 Agree to Disagree: Robust Anomaly Detection with Noisy Labels 2025 SIGMOD 4.9793485e-05
11,450 SDEcho: Efficient Explanation of Aggregated Sequence Difference 2025 VLDB 4.9793485e-05
12,125 Leveraging Organizational Resources to Adapt Models to New Data Modalities 2020 VLDB 4.9793485e-05
12,260 Prioritizing Attention in Fast Data: Principles and Promise 2017 CIDR 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

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

Rank Cited Paper Year Venue Pagerank
112 TelegraphCQ: Continuous Dataflow Processing for an Uncertain World 2003 CIDR 0.00032459277
127 The Design of the Borealis Stream Processing Engine 2005 CIDR 0.00030427614
148 Gorilla: A Fast, Scalable, In-Memory Time Series Database 2015 VLDB 0.0002900671
164 Mining Frequent Patterns without Candidate Generation 2000 SIGMOD 0.00027412227
189 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.00025840026
240 Gigascope: A Stream Database for Network Applications 2003 SIGMOD 0.00023435436
245 MCDB: A Monte Carlo Approach to Managing Uncertain Data 2008 SIGMOD 0.00023258672
495 Building Efficient Query Engines in a High-Level Language 2014 VLDB 0.00017370758
503 Towards a Unified Architecture for in-RDBMS Analytics 2012 SIGMOD 0.00017202276
670 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00014954494
685 Trill: A High-Performance Incremental Query Processor for Diverse Analytics 2015 VLDB 0.00014782777
782 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00014022168
878 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00013302631
1,981 Causality and Explanations in Databases 2014 VLDB 9.2586863e-05
2,359 Online Outlier Detection in Sensor Data Using Non-Parametric Models 2006 VLDB 8.5813849e-05
2,686 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 8.1308928e-05
3,043 Interactive Outlier Exploration in Big Data Streams 2014 VLDB 7.7212998e-05
4,324 On Biased Reservoir Sampling in the Presence of Stream Evolution 2006 VLDB 6.6656407e-05
5,952 A Framework for Clustering Uncertain Data 2015 VLDB 5.9365561e-05
9,151 Relative Risk and Odds Ratio: A Data Mining Perspective 2005 PODS 5.2178616e-05
12,260 Prioritizing Attention in Fast Data: Principles and Promise 2017 CIDR 4.9793485e-05
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