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  2. Comparison of MySQL database engines - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_MySQL...

    This is a comparison between notable database engines for the MySQL database management system (DBMS). A database engine (or "storage engine") is the underlying software component that a DBMS uses to create, read, update and delete (CRUD) data from a database.

  3. HeidiSQL - Wikipedia

    en.wikipedia.org/wiki/HeidiSQL

    HeidiSQL is a free and open-source administration tool for MariaDB, MySQL, as well as Microsoft SQL Server, PostgreSQL and SQLite. Its codebase was originally taken from Ansgar Becker's own MySQL-Front 2.5 software. After selling the MySQL-Front branding to an unrelated party, Becker chose "HeidiSQL" as a replacement.

  4. Merge (SQL) - Wikipedia

    en.wikipedia.org/wiki/Merge_(SQL)

    Some database implementations adopted the term "Upsert" (a portmanteau of update and insert) to a database statement, or combination of statements, that inserts a record to a table in a database if the record does not exist or, if the record already exists, updates the existing record.

  5. Database normalization - Wikipedia

    en.wikipedia.org/wiki/Database_normalization

    Beginning MySQL Database Design and Optimization Texas As this table structure consists of a compound primary key , it doesn't contain any non-key attributes and it's already in BCNF (and therefore also satisfies all the previous normal forms ).

  6. MySQLi - Wikipedia

    en.wikipedia.org/wiki/MySQLi

    The MySQLi Extension (MySQL Improved) is a relational database driver used in the PHP scripting language to provide an interface with MySQL protocol compatible databases (MariaDB, MySQL, Percona Server, TiDB). [1] [2] There are three main API options when considering connecting to a MySQL database server: PHP's MySQL Extension; PHP's MySQLi ...

  7. PostgreSQL - Wikipedia

    en.wikipedia.org/wiki/PostgreSQL

    WhitePages.com had been using Oracle and MySQL, but when it came to moving its core directories in-house, it turned to PostgreSQL. Because WhitePages.com needs to combine large sets of data from multiple sources, PostgreSQL's ability to load and index data at high rates was a key to its decision to use PostgreSQL.

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