The DOI matches its Crossref record.
Column-stores vs. row-stores: how different are they really?
Abstract
There has been a significant amount of excitement and recent work on column-oriented database systems ("column-stores"). These database systems have been shown to perform more than an order of magnitude better than traditional row-oriented database systems ("row-stores") on analytical workloads such as those found in data warehouses, decision support, and business intelligence applications. The elevator pitch behind this performance difference is straightforward: column-stores are more I/O efficient for read-only queries since they only have to read from disk (or from memory) those attributes accessed by a query.
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Citations
Cited by
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Abdennur, N., & Mirny, L. A. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btz540 · Cited by 1,759
In-Memory Big Data Management and Processing: A Survey
Zhang, H., Chen, G., Ooi, B. C., Tan, K.-L., & Zhang, M. (2015) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2015.2427795 · Cited by 414
Processing analytical queries over encrypted data
Tu, S., Kaashoek, M. F., Madden, S., & Zeldovich, N. (2013) · Proceedings of the VLDB Endowment · doi:10.14778/2535573.2488336 · Cited by 359
Self-citation
Metadata
- Authors
- Abadi, D. J., Madden, S. R., & Hachem, N.
- Venue
- Proceedings of the 2008 ACM SIGMOD international conference on Management of data
- Publisher
- ACM
- Published
- 2008-06-09
- Pages
- 967-980
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2005112390
- Cited by
- 436
- References
- 0
- FWCI
- 24.74
- Type
- conference paper
- Language
- en
- Open access
- closed
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Column-stores vs. row-stores: how different are they really? https://app.cochat.ai/papers/10.1145/1376616.1376712
- The paper
- Abadi, D. J., Madden, S. R., & Hachem, N. (2008). Column-stores vs. row-stores: how different are they really? Proceedings of the 2008 ACM SIGMOD international conference on Management of data. https://doi.org/10.1145/1376616.1376712
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.
