The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Scalable SQL and NoSQL data stores
Abstract
In this paper, we examine a number of SQL and socalled "NoSQL" data stores designed to scale simple OLTP-style application loads over many servers. Originally motivated by Web 2.0 applications, these systems are designed to scale to thousands or millions of users doing updates as well as reads, in contrast to traditional DBMSs and data warehouses. We contrast the new systems on their data model, consistency mechanisms, storage mechanisms, durability guarantees, availability, query support, and other dimensions. These systems typically sacrifice some of these dimensions, e.g. database-wide transaction consistency, in order to achieve others, e.g. higher availability and scalability.
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Cites
(2007) · doi:10.1145/1294261.1294281 · Cited by 3,447
Cited by
Chen, M., Mao, S., & Liu, Y. (2014) · Mobile Networks and Applications · doi:10.1007/s11036-013-0489-0 · Cited by 2,913
The rise of big data on cloud computing: Review and open research issues
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Ullah Khan, S. (2015) · Information Systems · doi:10.1016/j.is.2014.07.006 · Cited by 2,656
Toward Scalable Systems for Big Data Analytics: A Technology Tutorial
Hu, H., Wen, Y., Chua, T.-S., & Li, X. (2014) · IEEE Access · doi:10.1109/access.2014.2332453 · Cited by 1,099
Survey: sharding in blockchains
Yu, G., Wang, X., Yu, K., Ni, W., Zhang, J. A., & Liu, R. P. (2020) · IEEE Access · doi:10.1109/access.2020.2965147 · Cited by 267
Operational research from Taylorism to Terabytes: A research agenda for the analytics age
Mortenson, M. J., Doherty, N. F., & Robinson, S. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2014.08.029 · Cited by 235
Metadata
- Authors
- Cattell, R.
- Venue
- ACM SIGMOD Record
- Published
- 2011-05-06
- Volume
- 39
- Issue
- 4
- Pages
- 12-27
- ISSN
- 0163-5808 (ISSN-L)
- OpenAlex
- W2084568010
- Cited by
- 1,358
- References
- 1
- FWCI
- 169.17
- Type
- journal article
- Language
- en
- Open access
- closed
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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.