Concepedia

Parallel Databases

Parallel Databases is a database system that partitions data and processing across multiple processors or nodes to achieve high performance and scalability by exploiting parallelism in query execution, data access, and transaction processing.

927

Publications

71.6K

Citations

2.1K

Authors

537

Institutions

Publications per year

2017–2026

133

Parents

Children

Publications

927

1–5 of 927

Authors

2.1K

  1. DJ
    David J. DeWitt

    University of Wisconsin–Madison, United States

    37 publications · 6.7K citations

    31

    h-index

  2. PV
    Patrick Valduriez

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

    21 publications · 1.5K citations

    16

    h-index

  3. JF
    Jeffrey F. Naughton

    University of Wisconsin–Madison, United States

    15 publications · 955 citations

    14

    h-index

  4. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    13 publications · 507 citations

    13

    h-index

  5. GA
    Gustavo Alonso

    ETH Zurich, Switzerland

    12 publications · 642 citations

    11

    h-index

1–5 of 2.1K

Institutions

537

  1. University of Wisconsin–Madison

    Madison, United States

    39 h-index

    164 publications

    20.4K citations

  2. IBM (United States)

    Armonk, United States

    24 h-index

    76 publications

    4.6K citations

  3. IBM Research - Almaden

    San Jose, United States

    20 h-index

    63 publications

    6K citations

  4. IBM Research - Thomas J. Watson Research Center

    Yorktown Heights, United States

    17 h-index

    50 publications

    2K citations

  5. ETH Zurich

    Zurich, Switzerland

    16 h-index

    43 publications

    2.4K citations

  6. University of California, Berkeley

    Berkeley, United States

    16 h-index

    46 publications

    8.7K citations

  7. Microsoft (United States)

    Redmond, United States

    15 h-index

    40 publications

    4K citations

  8. Oracle (United States)

    Austin, United States

    13 h-index

    28 publications

    1.1K citations

1–8 of 537

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 70 publications · 7.1K citations

    39

    h-index

  2. ACM SIGMOD Record

    31 publications · 2.2K citations

    23

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 30 publications · 2.9K citations

    20

    h-index

  4. Very Large Data Bases

    Conference · 27 publications · 1.7K citations

    20

    h-index

  5. ACM Transactions on Database Systems

    TODS · 16 publications · 1K citations

    13

    h-index

1–5