The DOI matches its Crossref record.
MapReduce and parallel DBMSs: friends or foes?
Abstract
MapReduce complements DBMSs since databases are not designed for extract-transform-load tasks, a MapReduce specialty.
Overview
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Citations
Cited by
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
Hadoop GIS: a high performance spatial data warehousing system over mapreduce
Aji, A., Wang, F., Vo, H., Lee, R., Liu, Q., Zhang, X., & Saltz, J. (2013) · Proceedings of the VLDB Endowment · doi:10.14778/2536222.2536227 · Cited by 593
Shark: SQL and rich analytics at scale
Xin, R. S., Rosen, J., Zaharia, M., Franklin, M. J., Shenker, S., & Stoica, I. (2013) · Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data · doi:10.1145/2463676.2465288 · Cited by 369
What Goes Around Comes Around... And Around...
Stonebraker, M., & Pavlo, A. (2024) · ACM SIGMOD Record · doi:10.1145/3685980.3685984 · Cited by 29
Self-citation
Metadata
- Authors
- Stonebraker, M., Abadi, D., DeWitt, D. J., Madden, S., Paulson, E., Pavlo, A., & Rasin, A.
- Venue
- Communications of the ACM
- Published
- 2010-01
- Volume
- 53
- Issue
- 1
- Pages
- 64-71
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2044490410
- Cited by
- 430
- References
- 0
- FWCI
- 107.69
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MapReduce and parallel DBMSs: friends or foes? https://app.cochat.ai/papers/10.1145/1629175.1629197
- The paper
- Stonebraker, M., Abadi, D., DeWitt, D. J., Madden, S., Paulson, E., Pavlo, A., & Rasin, A. (2010). MapReduce and parallel DBMSs: friends or foes? Communications of the ACM. https://doi.org/10.1145/1629175.1629197
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
