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MacroBase: Prioritizing Attention in Fast Data

arXiv 1603.00567 ↗First posted 2 Mar 2016cs.DBcited by 15

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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.

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