Parallel Database Systems

Parallel Database Systems is a class of database management systems that belongs to the category of distributed database architectures, distinguished by its ability to execute data storage, retrieval, and processing operations concurrently across multiple processors or nodes to enhance performance, scalability, and fault tolerance through parallelization of query execution and data partitioning strategies.

545

Publications

52.8K

Citations

1.2K

Authors

315

Institutions

Publications per year

2017–2026

52

Authors

1.2K

  1. DJ
    David J. DeWitt

    University of Wisconsin–Madison, United States

    27 publications · 5.3K citations

    23

    h-index

  2. PV
    Patrick Valduriez

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

    23 publications · 1.5K citations

    16

    h-index

  3. AK
    Alfons Kemper

    Technical University of Munich, Germany

    10 publications · 386 citations

    10

    h-index

  4. AP
    Andrew Pavlo

    Carnegie Mellon University, United States

    10 publications · 2.4K citations

    10

    h-index

  5. MS
    Michael Stonebraker

    University of California, Berkeley, United States

    10 publications · 2.5K citations

    10

    h-index

1–5 of 1.2K

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 36 publications · 5.2K citations

    28

    h-index

  2. ACM SIGMOD Record

    25 publications · 1.6K citations

    18

    h-index

  3. Very Large Data Bases

    Conference · 17 publications · 1.1K citations

    15

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 13 publications · 1.8K citations

    13

    h-index

  5. ACM Transactions on Database Systems

    TODS · 12 publications · 825 citations

    11

    h-index

1–5