Database Scalability

Database Scalability is a methodological construct in scalable system design that characterizes the capacity of a database system to maintain performance and functionality as data volume and user load increase without degradation.

258

Publications

18.6K

Citations

765

Authors

234

Institutions

Publications per year

2017–2026

19

Authors

765

  1. MS
    Michael Stonebraker

    University of California, Berkeley, United States

    8 publications · 1.5K citations

    8

    h-index

  2. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    6 publications · 725 citations

    6

    h-index

  3. GW
    Gerhard Weikum

    Max Planck Institute for Informatics, Germany

    6 publications · 1.2K citations

    6

    h-index

  4. SC
    Surajit Chaudhuri

    Microsoft (United States), United States

    5 publications · 596 citations

    5

    h-index

  5. AA
    Anastasia Ailamaki

    École Polytechnique Fédérale de Lausanne, Switzerland

    5 publications · 369 citations

    5

    h-index

1–5 of 765

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 12 publications · 1.6K citations

    12

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 10 publications · 1.3K citations

    10

    h-index

  3. ACM SIGMOD Record

    9 publications · 1.8K citations

    9

    h-index

  4. Very Large Data Bases

    Conference · 5 publications · 790 citations

    5

    h-index

  5. ACM Transactions on Database Systems

    TODS · 5 publications · 343 citations

    5

    h-index

1–5