Integration of Large-Scale Data Processing Systems and Traditional Parallel Database Technology
Summary: Hybrid SQL analytics unites MapReduce/Hadoop with parallel DBMS (Greenplum/Vertica); HadoopDB prototype shows strong SQL performance, scalability, and fault tolerance. Tracing a decade from research to Hadapt/Teradata, the paper surveys open-source ecosystems sustaining the integrated data-processing and DBMS paradigm. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Azza Abouzied (New York University)
- 2. Daniel J. Abadi (University of Maryland)
- 3. Kamil Bajda-Pawlikowski (Starburst Data)
- 4. Avi Silberschatz (Yale University)
BibTeX Citation
@article{abouzied_vldb19,
title = {{Integration of Large-Scale Data Processing Systems and Traditional Parallel Database Technology}},
author = {Abouzied, Azza and Abadi, Daniel J. and Bajda-Pawlikowski, Kamil and Silberschatz, Avi},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {2290--2299},
doi = {10.14778/3352063.3352145},
url = {https://doi.org/10.14778/3352063.3352145},
year = {2019}
}
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