In-memory Analytics
In-Memory Analytics is a computational approach to data analysis in which processed data is stored and manipulated directly in the main memory of a computing system, enabling significantly faster query performance and real-time analytics compared to disk-based storage methods.
70
Publications
3.1K
Citations
281
Authors
82
Institutions
Publications per year
2017–2026
24
Parents
70
Oracle Database In-Memory: A dual format in-memory database
Tirthankar Lahiri, Shasank Chavan, Maria Colgan et al. · 2015 · 111 citations
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82

KTH Royal Institute of Technology
Stockholm, Sweden
4 h-index
7 publications
159 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
3 h-index
4 publications
99 citations

Zhejiang University
Hangzhou, China
3 h-index
3 publications
95 citations
National University of Singapore
Singapore, Singapore
3 h-index
12 publications
237 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
3 h-index
12 publications
684 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
22 publications
568 citations
Arizona State University
Tempe, United States
2 h-index
4 publications
62 citations
Intel (United Kingdom)
Swindon, United Kingdom
2 h-index
4 publications
85 citations
1–8 of 82
PVLDB · 13 publications · 322 citations
12
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CAIS · 1 publications · 47 citations
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Repository · 1 publications · 29 citations
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Repository · 1 publications · 32 citations
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1 publications · 36 citations
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