Hive - A Warehousing Solution Over a Map-Reduce Framework
Summary: Hive brings SQL-like declarative warehousing to Hadoop by compiling HiveQL into MapReduce, while retaining extensibility via custom scripts and data formats. Its rich nested type system and catalog of schemas/statistics enable large-scale exploration and optimization. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ashish Thusoo (Meta)
- 2. Joydeep Sen Sarma (Meta)
- 3. Namit Jain (Meta)
- 4. Zheng Shao (Meta)
- 5. Prasad Chakka (Meta)
- 6. Suresh Anthony (Meta)
- 7. Hao Liu (Meta)
- 8. Pete Wyckoff (Meta)
- 9. Raghotham Murthy (Meta)
BibTeX Citation
@article{thusoo_vldb09,
title = {{Hive - A Warehousing Solution Over a Map-Reduce Framework}},
author = {Thusoo, Ashish and Sarma, Joydeep Sen and Jain, Namit and Shao, Zheng and Chakka, Prasad and Anthony, Suresh and Liu, Hao and Wyckoff, Pete and Murthy, Raghotham},
journal = {PVLDB},
series = {{VLDB} '09},
volume = {2},
number = {2},
pages = {1626--1629},
doi = {10.14778/1687553.1687609},
url = {https://doi.org/10.14778/1687553.1687609},
year = {2009}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 136 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 30 | SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets | 2008 | VLDB | 0.00050364918 |
| 43 | A Comparison of Approaches to Large-Scale Data Analysis | 2009 | SIGMOD | 0.00045453255 |
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