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

Authors

1.1K

  1. MS
    Michael Stonebraker

    University of California, Berkeley, United States

    9 publications · 1.9K citations

    9

    h-index

  2. SM
    Samuel Madden

    Massachusetts Institute of Technology, United States

    6 publications · 653 citations

    6

    h-index

  3. WL
    Wolfgang Lehner

    Technische Universität Dresden, Germany

    5 publications · 436 citations

    5

    h-index

  4. GA
    Gustavo Alonso

    ETH Zurich, Switzerland

    5 publications · 307 citations

    5

    h-index

  5. PV
    Patrick Valduriez

    Institut national de recherche en sciences et technologies du numérique, France

    5 publications · 202 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 20 publications · 2.1K citations

    19

    h-index

  2. arXiv (Cornell University)

    Repository · 8 publications · 195 citations

    8

    h-index

  3. ACM SIGMOD Record

    6 publications · 1.8K citations

    6

    h-index

  4. IEEE Data(base) Engineering Bulletin

    4 publications · 83 citations

    4

    h-index

  5. Future Generation Computer Systems

    FGCS · 4 publications · 139 citations

    4

    h-index

1–5