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Abstraction without regret in data management systems

Summary: Argues data management research produces short-lived, recipe-like contributions instead of timeless abstractions and design patterns. Calls for extracting first principles (e.g., locality, out-of-core) to enable enduring, reusable abstractions and clearer crediting. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
192
Venue
CIDR
Year
2013
Pagerank
5.575416e-05
Overall Rank
7,653 | 47.50%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{koch_cidr13,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '13},
        title = {{Abstraction without regret in data management systems}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Koch, Christoph},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
534 Building Efficient Query Engines in a High-Level Language 2014 VLDB 0.00017046514
1,797 How to Architect a Query Compiler 2016 SIGMOD 9.7368925e-05
3,062 Adaptive Query Processing on RAW Data 2014 VLDB 7.8037446e-05
7,156 The Case for Deep Query Optimisation 2020 CIDR 5.686096e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

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