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

Authors

281

  1. AJ
    Ahsan Javed Awan

    KTH Royal Institute of Technology, Sweden

    3 publications · 75 citations

    3

    h-index

  2. ZZ
    Zuyu Zhang

    Inha University, South Korea

    3 publications · 76 citations

    3

    h-index

  3. VV
    Vladimir Vlassov

    KTH Royal Institute of Technology, Sweden

    3 publications · 75 citations

    3

    h-index

  4. JZ
    Jian-Qiao Zhu

    University of Warwick, United Kingdom

    3 publications · 76 citations

    3

    h-index

  5. MB
    Mats Brorsson

    KTH Royal Institute of Technology, Sweden

    3 publications · 75 citations

    3

    h-index

1–5 of 281

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 13 publications · 322 citations

    12

    h-index

  2. Communications of the Association for Information Systems

    CAIS · 1 publications · 47 citations

    1

    h-index

  3. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 29 citations

    1

    h-index

  4. 1

    h-index

  5. Cluster Computing

    1 publications · 36 citations

    1

    h-index

1–5