Scalable Database Architecture
Scalable Database Architecture is a database design framework that enables systematic expansion in data volume, user load, or transaction complexity while maintaining performance, availability, and consistency through modular, distributed, and resource-efficient structural and operational principles.
295
Publications
21.3K
Citations
1.1K
Authors
314
Institutions
Publications per year
2017–2026
64
295
Kurt Bollacker, Colin Evans, Praveen Paritosh et al. · 2008 · 5K citations
Scalable SQL and NoSQL data stores
R. G. G. Cattell · ACM SIGMOD Record · 2011 · 1.3K citations
Apache hadoop goes realtime at Facebook
Dhruba Borthakur, Jonathan David Gray, Joydeep Sen Sarma et al. · 2011 · 432 citations
1–5 of 295
1.1K
9
h-index
6
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5
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5
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Institut national de recherche en sciences et technologies du numérique, France
5 publications · 202 citations
5
h-index
1–5 of 1.1K
314
Microsoft (United States)
Redmond, United States
11 h-index
31 publications
2.6K citations
ETH Zurich
Zurich, Switzerland
10 h-index
23 publications
1.4K citations
University of California, Berkeley
Berkeley, United States
8 h-index
24 publications
5.6K citations
Tsinghua University
Beijing, China
8 h-index
18 publications
513 citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
14 publications
954 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
6 h-index
13 publications
936 citations
Stanford University
Stanford, United States
5 h-index
12 publications
718 citations
University of California, Santa Barbara
Santa Barbara, United States
5 h-index
13 publications
383 citations
1–8 of 314
PVLDB · 20 publications · 2.1K citations
19
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Repository · 8 publications · 195 citations
8
h-index
6 publications · 1.8K citations
6
h-index
4 publications · 83 citations
4
h-index
FGCS · 4 publications · 139 citations
4
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1–5