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  2. Database model - Wikipedia

    en.wikipedia.org/wiki/Database_model

    Thus, the "relation" in "relational database" refers to the various tables in the database; a relation is a set of tuples. The columns enumerate the various attributes of the entity (the employee's name, address or phone number, for example), and a row is an actual instance of the entity (a specific employee) that is represented by the relation.

  3. Database - Wikipedia

    en.wikipedia.org/wiki/Database

    Formally, a "database" refers to a set of related data accessed through the use of a "database management system" (DBMS), which is an integrated set of computer software that allows users to interact with one or more databases and provides access to all of the data contained in the database (although restrictions may exist that limit access to particular data).

  4. List of column-oriented DBMSes - Wikipedia

    en.wikipedia.org/wiki/List_of_column-oriented_DBMSes

    Database name Language implemented in Notes Apache Doris Java & C++ Open source (since 2017), database for high-concurrency point queries and high-throughput analysis. Apache Druid: Java Started in 2011 for low-latency massive ingestion and queries. Support and extensions available from Imply Data. Apache Kudu: C++

  5. Row (database) - Wikipedia

    en.wikipedia.org/wiki/Row_(database)

    A database table can be thought of as consisting of rows and columns. [1] Each row in a table represents a set of related data, and every row in the table has the same structure. For example, in a table that represents companies, each row might represent a single company. Columns might represent things like company name, address, etc.

  6. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    The two most common representations are column-oriented (columnar format) and row-oriented (row format). [ 1 ] [ 2 ] The choice of data orientation is a trade-off and an architectural decision in databases , query engines, and numerical simulations. [ 1 ]

  7. Database storage structures - Wikipedia

    en.wikipedia.org/wiki/Database_storage_structures

    By contrast, column-oriented DBMS store all data from a given column together in order to more quickly serve data warehouse-style queries. Correlation databases are similar to row-based databases, but apply a layer of indirection to map multiple instances of the same value to the same numerical identifier.

  8. Outline of databases - Wikipedia

    en.wikipedia.org/wiki/Outline_of_databases

    The name is commonly used when creating a query to the database. The Database Source Name (DSN) does not have to be the same as the filename for the database. For example, a database file named "friends.mdb" could be set up with a DSN of "school". Then DSN "school" would then be used to refer to the database when performing a query.

  9. SAP IQ - Wikipedia

    en.wikipedia.org/wiki/SAP_IQ

    A traditional row-based database would have to read the whole table, top to bottom. Another advantage is that when indexed correctly, a value that would have to be stored once in each row of data in a traditional database is stored only once, and in SAP IQ, an n-bitindex is used to access the data. [ 9 ]