Cloud-native Data Architecture

Cloud-Native Data Architecture is a data architecture approach that, as its genus, belongs to the class of system design paradigms for managing data in distributed environments, and as its differentia, is specifically characterized by the native integration of cloud-centric capabilities—such as elastic scalability, microservices orientation, serverless computing, automated management, and API-driven interoperability—into the foundational structure of data platforms to optimize agility, resilience, and cost-efficiency.

16

Publications

1.3K

Citations

102

Authors

38

Institutions

Publications per year

2017–2026

14

Authors

102

  1. AG
    Andrey Gubarev

    Google (United States), United States

    3 publications · 884 citations

    3

    h-index

  2. SM
    Sergey Melnik

    University of Limerick, Ireland

    3 publications · 884 citations

    3

    h-index

  3. JJ
    Jing Jing Long

    Google (United States), United States

    3 publications · 884 citations

    3

    h-index

  4. GR
    Geoffrey Romer

    Google (United States), United States

    3 publications · 884 citations

    3

    h-index

  5. SS
    Shiva Shivakumar

    Google (United States), United States

    3 publications · 884 citations

    3

    h-index

1–5 of 102

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 844 citations

    4

    h-index

  2. Sensors

    2 publications · 42 citations

    2

    h-index

  3. Future Generation Computer Systems

    FGCS · 2 publications · 35 citations

    2

    h-index

  4. Computing in Science & Engineering

    1 publications · 129 citations

    1

    h-index

  5. 1

    h-index

1–5