Fast Queries Over Heterogeneous Data Through Engine Customization
Summary: Proteus unifies CSV, JSON, and relational data through an expressive cross-model algebra, avoiding per-format integration layers. Query- and workload-specific code generation customizes execution to the data and storage, outperforming general-purpose and specialized systems. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Manos Karpathiotakis (EPFL)
- 2. Ioannis Alagiannis (EPFL)
- 3. Anastasia Ailamaki (EPFL; RAW Labs)
BibTeX Citation
@article{karpathiotakis_vldb16,
title = {{Fast Queries Over Heterogeneous Data Through Engine Customization}},
author = {Karpathiotakis, Manos and Alagiannis, Ioannis and Ailamaki, Anastasia},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {12},
pages = {972--983},
doi = {10.14778/2994509.2994517},
url = {https://doi.org/10.14778/2994509.2994517},
year = {2016}
}
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