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The Case for Predictive Database Systems: Opportunities and Challenges

Summary: Proposes integrating model management into DBMS cores so declarative predictive queries run with optimizer-managed model training/selection for both self-management and user-facing analytics. Outlines challenges in profiling, physical design and optimizer integration and presents Longview, a prototype predicting query performance. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
152
Venue
CIDR
Year
2011
Pagerank
9.0159844e-05
Overall Rank
2,177 | 85.07%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{akdere_cidr11,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '11},
        title = {{The Case for Predictive Database Systems: Opportunities and Challenges}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Akdere, Mert and Cetintemel, Ugur and Riondato, Matteo and Upfal, Eli and Zdonik, Stan},
        year = {2011}
}

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