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Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype?

Summary: Examines ML–DB frontier, outlining concrete opportunities for data management, learned query processing, and ML integration, and assesses substance versus hype. Discusses pitfalls, hype risks, and guidance for database researchers pursuing ML. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hba15842453d2de48
Venue
SIGMOD
Year
2015
Pagerank
7.0726435e-05
Overall Rank
3,716 | 75.02%
DOI
10.1145/2723372.2742911

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{re_sigmod15,
        title = {{Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype?}},
        author = {Ré, Christopher and Agrawal, Divy and Balazinska, Magdalena and Cafarella, Michael and Jordan, Michael and Kraska, Tim and Ramakrishnan, Raghu},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2742911},
        url = {https://dl.acm.org/doi/10.1145/2723372.2742911},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank Citing Paper Year Venue Pagerank
521 Learning Linear Regression Models over Factorized Joins 2016 SIGMOD 0.00016929744
2,386 Vertica-ML: Distributed Machine Learning in Vertica Database 2020 SIGMOD 8.538263e-05
2,778 AIDA - Abstraction for Advanced In-Database Analytics 2018 VLDB 8.0299506e-05
2,908 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.8742664e-05
4,182 Rafiki: Machine Learning as an Analytics Service System 2019 VLDB 6.755131e-05
4,741 Machine Learning for Databases 2021 VLDB 6.4410027e-05
8,385 NeurDB: On the Design and Implementation of an AI-powered Autonomous Database 2025 CIDR 5.3420959e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank Cited Paper Year Venue Pagerank
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