Database Sharding

Database Sharding is a horizontal partitioning method in database management systems that distributes data across multiple servers or shards based on a shared key, enabling scalable and efficient handling of large-scale datasets by isolating query processing and storage responsibilities per shard.

37

Publications

2.7K

Citations

159

Authors

54

Institutions

Publications per year

2017–2026

20

Authors

159

  1. RR
    Rajesh Rao

    Google (United States), United States

    3 publications · 1.1K citations

    3

    h-index

  2. DW
    Dale Woodford

    Google (United States), United States

    3 publications · 1.1K citations

    3

    h-index

  3. CM
    Christopher M. Taylor

    Louisiana State University Health Sciences Center New Orleans, United States

    3 publications · 1.1K citations

    3

    h-index

  4. EK
    Eugene Kogan

    Google (United States), United States

    3 publications · 1.1K citations

    3

    h-index

  5. AF
    Andrew Fikes

    Google (United States), United States

    3 publications · 1.1K citations

    3

    h-index

1–5 of 159

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 201 citations

    2

    h-index

  2. IEEE Transactions on Network and Service Management

    TNSM · 2 publications · 34 citations

    2

    h-index

  3. ACM Transactions on Computer Systems

    TOCS · 2 publications · 1K citations

    2

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 57 citations

    1

    h-index

  5. Asia-Pacific Network Operations and Management Symposium

    Conference · 1 publications · 13 citations

    1

    h-index

1–5