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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
5356
Venue
SIGMOD
Year
2017
Pagerank
9.7436856e-05
Overall Rank
1,792 | 87.71%
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
284 NoScope: Optimizing Neural Network Queries over Video at Scale 2017 VLDB 0.00022370521
1,250 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011485301
1,534 Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series 2021 VLDB 0.00010464308
2,161 DIFF: A Relational Interface for Large-Scale Data Explanation 2019 VLDB 9.0606664e-05
2,747 Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries 2018 VLDB 8.1711208e-05
3,445 Sketching Linear Classifiers over Data Streams 2018 SIGMOD 7.4089141e-05
4,062 AutoOD: Automatic Outlier Detection 2023 SIGMOD 6.9309994e-05
4,100 Data Integration and Machine Learning: A Natural Synergy 2018 SIGMOD 6.9016092e-05
4,345 ASAP: Prioritizing Attention via Time Series Smoothing 2017 VLDB 6.7513816e-05
4,465 Scalable Kernel Density Classification via Threshold-Based Pruning 2017 SIGMOD 6.6850249e-05
4,548 ExplainIt! - A Declarative Root-cause Analysis Engine for Time Series Data 2019 SIGMOD 6.63688e-05
4,552 MorphoSys: Automatic Physical Design Metamorphosis for Distributed Database Systems 2020 VLDB 6.6348814e-05
4,582 A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System 2022 VLDB 6.6193306e-05
4,876 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.4687705e-05
6,884 Explaining Inference Queries with Bayesian Optimization 2021 VLDB 5.7465524e-05
7,068 DataPrism: Exposing Disconnect between Data and Systems 2022 SIGMOD 5.7119157e-05
7,424 Data Integration and Machine Learning: A Natural Synergy 2018 VLDB 5.6214566e-05
7,551 Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams 2022 VLDB 5.6006414e-05
7,922 Sentinel: Understanding Data Systems 2020 SIGMOD 5.5181056e-05
8,185 BugDoc: Algorithms to Debug Computational Processes 2020 SIGMOD 5.4707797e-05
8,660 Demonstration: MacroBase, A Fast Data Analysis Engine 2017 SIGMOD 5.3894205e-05
8,802 Outlier Summarization via Human Interpretable Rules 2024 VLDB 5.3685765e-05
8,869 A Distributed System for Large-scale n-gram Language Models at Tencent 2019 VLDB 5.3543688e-05
9,170 A Demonstration of the Exathlon Benchmarking Platform for Explainable Anomaly Detection 2021 VLDB 5.3096515e-05
9,329 Panakos: Chasing the Tails for Multidimensional Data Streams 2023 VLDB 5.2894515e-05
9,713 TSExplain: Surfacing Evolving Explanations for Time Series 2021 SIGMOD 5.2342614e-05
10,001 Reptile: Aggregation-level Explanations for Hierarchical Data 2022 SIGMOD 5.1814573e-05
10,658 Agree to Disagree: Robust Anomaly Detection with Noisy Labels 2025 SIGMOD 5.093636e-05
11,098 SDEcho: Efficient Explanation of Aggregated Sequence Difference 2025 VLDB 5.093636e-05
11,824 Leveraging Organizational Resources to Adapt Models to New Data Modalities 2020 VLDB 5.093636e-05
11,962 Prioritizing Attention in Fast Data: Principles and Promise 2017 CIDR 5.093636e-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
111 TelegraphCQ: Continuous Dataflow Processing for an Uncertain World 2003 CIDR 0.00032990214
127 The Design of the Borealis Stream Processing Engine 2005 CIDR 0.00030738755
148 Gorilla: A Fast, Scalable, In-Memory Time Series Database 2015 VLDB 0.00029250767
161 Mining Frequent Patterns without Candidate Generation 2000 SIGMOD 0.00027981772
191 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.00026096009
230 Gigascope: A Stream Database for Network Applications 2003 SIGMOD 0.00023891474
238 MCDB: A Monte Carlo Approach to Managing Uncertain Data 2008 SIGMOD 0.0002369322
518 Towards a Unified Architecture for in-RDBMS Analytics 2012 SIGMOD 0.00017167492
534 Building Efficient Query Engines in a High-Level Language 2014 VLDB 0.00017046514
663 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00015174751
710 Trill: A High-Performance Incremental Query Processor for Diverse Analytics 2015 VLDB 0.00014715033
798 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00013919795
858 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.0001356511
1,943 Causality and Explanations in Databases 2014 VLDB 9.440636e-05
2,340 Online Outlier Detection in Sensor Data Using Non-Parametric Models 2006 VLDB 8.7246796e-05
2,759 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 8.1577506e-05
3,031 Interactive Outlier Exploration in Big Data Streams 2014 VLDB 7.8324917e-05
4,229 On Biased Reservoir Sampling in the Presence of Stream Evolution 2006 VLDB 6.8181027e-05
5,843 A Framework for Clustering Uncertain Data 2015 VLDB 6.068841e-05
8,993 Relative Risk and Odds Ratio: A Data Mining Perspective 2005 PODS 5.3372281e-05
11,962 Prioritizing Attention in Fast Data: Principles and Promise 2017 CIDR 5.093636e-05
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