Streaming Data Management

Streaming Data Management is a data management paradigm that enables the continuous, real-time ingestion, processing, and analysis of high-volume, time-varying data streams, distinguished from batch-oriented approaches by its focus on immediate, in-motion data handling and low-latency responses.

138

Publications

7.8K

Citations

484

Authors

170

Institutions

Publications per year

2017–2026

27

Authors

484

  1. LG
    Lukasz Golab

    University of Waterloo, Canada

    7 publications · 1.1K citations

    7

    h-index

  2. GC
    Graham Cormode

    AT&T (United States), United States

    4 publications · 391 citations

    4

    h-index

  3. MP
    Manish Parashar

    Rutgers, The State University of New Jersey, United States

    4 publications · 120 citations

    4

    h-index

  4. JW
    Jennifer Widom

    Stanford University, United States

    4 publications · 955 citations

    4

    h-index

  5. JH
    Julian Hyde

    Hortonworks (United States), United States

    3 publications · 62 citations

    3

    h-index

1–5 of 484

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 7 publications · 493 citations

    7

    h-index

  2. Proceedings - International Conference on Data Engineering

    ICDE · 3 publications · 201 citations

    3

    h-index

  3. Information Systems

    2 publications · 66 citations

    2

    h-index

  4. Signal Processing Image Communication

    2 publications · 92 citations

    2

    h-index

  5. The VLDB Journal

    2 publications · 125 citations

    2

    h-index

1–5