MacroBase: Prioritizing Attention in Fast Data
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Abstract (arXiv)
As data volumes continue to rise, manual inspection is becoming increasingly untenable. In response, we present MacroBase, a data analytics engine that prioritizes end-user attention in high-volume fast data streams. MacroBase enables efficient, accurate, and modular analyses that highlight and aggregate important and unusual behavior, acting as a search engine for fast data. MacroBase is able to deliver order-of-magnitude speedups over alternatives by optimizing the combination of explanation and classification tasks and by leveraging a new reservoir sampler and heavy-hitters sketch specialized for fast data streams. As a result, MacroBase delivers accurate results at speeds of up to 2M events per second per query on a single core. The system has delivered meaningful results in production, including at a telematics company monitoring hundreds of thousands of vehicles.
Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Mar 2016.
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Citing papers per year: 2021: 2; 2022: 5; 2023: 2; 2024: 2; 2025: 2; 2026: 2.
15 papers.
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- 2024Data-driven Discovery with Large Generative Modelscited by 33
- 2025AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprisecited by 28
- 2021DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applicationscited by 18
- 2022Learn the Time to Learn: Replay Scheduling in Continual Learningcited by 11
- 2022XInsight: eXplainable Data Analysis Through The Lens of Causalitycited by 9
- 2022A Meta-level Analysis of Online Anomaly Detectorscited by 5
- 2025VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysiscited by 5
- 2021Explaining Inference Queries with Bayesian Optimizationcited by 2
- 2022Efficient Dynamic Clustering: Capturing Patterns from Historical Cluster Evolutioncited by 1
- 2022Explainable multi-class anomaly detection on functional datacited by 1
- 2023Interpretable Outlier Summarizationcited by 0
- 2023MaskSearch: Querying Image Masks at Scalecited by 0
3 more
- 2024Towards Causal Physical Error Discovery in Video Analytics Systemscited by 0
- 2026RankShift: In-Database Detection and Explanation of Categorical Shiftscited by 0
- 2026Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretabilitycited by 0
- 2026Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability1 Oct 2026
- 2026RankShift: In-Database Detection and Explanation of Categorical Shifts28 Aug 2026
- 2025AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise30 Jun 2025
- 2025VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis6 May 2025
- 2024Towards Causal Physical Error Discovery in Video Analytics Systems27 May 2024
- 2024Data-driven Discovery with Large Generative Models21 Feb 2024
- 2023MaskSearch: Querying Image Masks at Scale3 May 2023
- 2023Interpretable Outlier Summarization11 Mar 2023
- 2022Learn the Time to Learn: Replay Scheduling in Continual Learning18 Sep 2022
- 2022A Meta-level Analysis of Online Anomaly Detectors13 Sep 2022
- 2022XInsight: eXplainable Data Analysis Through The Lens of Causality26 Jul 2022
- 2022Explainable multi-class anomaly detection on functional data3 May 2022
- 2024Data-driven Discovery with Large Generative Modelscited by 33
- 2025AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprisecited by 28
- 2021DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applicationscited by 18
- 2022Learn the Time to Learn: Replay Scheduling in Continual Learningcited by 11
- 2022XInsight: eXplainable Data Analysis Through The Lens of Causalitycited by 9
- 2022A Meta-level Analysis of Online Anomaly Detectorscited by 5
- 2025VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysiscited by 5
- 2021Explaining Inference Queries with Bayesian Optimizationcited by 2
- 2022Efficient Dynamic Clustering: Capturing Patterns from Historical Cluster Evolutioncited by 1
- 2022Explainable multi-class anomaly detection on functional datacited by 1
- 2023Interpretable Outlier Summarizationcited by 0
- 2023MaskSearch: Querying Image Masks at Scalecited by 0
12 most cited of 15 All 15 (JSON)
- 2026Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability1 Oct 2026
- 2026RankShift: In-Database Detection and Explanation of Categorical Shifts28 Aug 2026
- 2025AutoDiscovery: Open-ended Scientific Discovery via Bayesian Surprise30 Jun 2025
- 2025VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis6 May 2025
- 2024Towards Causal Physical Error Discovery in Video Analytics Systems27 May 2024
- 2024Data-driven Discovery with Large Generative Models21 Feb 2024
- 2023MaskSearch: Querying Image Masks at Scale3 May 2023
- 2023Interpretable Outlier Summarization11 Mar 2023
- 2022Learn the Time to Learn: Replay Scheduling in Continual Learning18 Sep 2022
- 2022A Meta-level Analysis of Online Anomaly Detectors13 Sep 2022
- 2022XInsight: eXplainable Data Analysis Through The Lens of Causality26 Jul 2022
- 2022Explainable multi-class anomaly detection on functional data3 May 2022
12 newest of 15 All 15 (JSON)