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  2. MySQL Connector/ODBC - Wikipedia

    en.wikipedia.org/wiki/MySQL_Connector/ODBC

    MySQL Connector/ODBC. MySQL Connector/ODBC, once known as MyODBC, is computer software from Oracle Corporation. It is an ODBC interface and allows programming languages that support the ODBC interface to communicate with a MySQL database. MySQL Connector/ODBC was originally created by MySQL AB .

  3. List of SQL reserved words - Wikipedia

    en.wikipedia.org/wiki/List_of_SQL_reserved_words

    Reserved words in SQL and related products In SQL:2023 In IBM Db2 13 In Mimer SQL 11.0 In MySQL 8.0 In Oracle Database 23c In PostgreSQL 16 In Microsoft SQL Server 2022 In Teradata 15 ...

  4. Open Database Connectivity - Wikipedia

    en.wikipedia.org/wiki/Open_Database_Connectivity

    Open Database Connectivity. In computing, Open Database Connectivity ( ODBC) is a standard application programming interface (API) for accessing database management systems (DBMS). The designers of ODBC aimed to make it independent of database systems and operating systems. [citation needed] An application written using ODBC can be ported to ...

  5. 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. Due to having sold the MySQL-Front branding to an unrelated party, Becker chose "HeidiSQL" as a replacement.

  6. Database engine - Wikipedia

    en.wikipedia.org/wiki/Database_engine

    Database engine. A database engine (or storage engine) is the underlying software component that a database management system (DBMS) uses to create, read, update and delete (CRUD) data from a database. Most database management systems include their own application programming interface (API) that allows the user to interact with their ...

  7. MySQL Cluster - Wikipedia

    en.wikipedia.org/wiki/MySQL_Cluster

    MySQL Cluster is a technology providing shared-nothing clustering and auto-sharding for the MySQL database management system. It is designed to provide high availability and high throughput with low latency, while allowing for near linear scalability. [3]

  8. Prepared statement - Wikipedia

    en.wikipedia.org/wiki/Prepared_statement

    Prepared statement. In database management systems (DBMS), a prepared statement, parameterized statement, or parameterized query is a feature where the database pre-compiles SQL code and stores the results, separating it from data. Benefits of prepared statements are: [1] efficiency, because they can be used repeatedly without re-compiling.

  9. Wikipedia:Database download - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Database_download

    Start downloading a Wikipedia database dump file such as an English Wikipedia dump. It is best to use a download manager such as GetRight so you can resume downloading the file even if your computer crashes or is shut down during the download. Download XAMPPLITE from [2] (you must get the 1.5.0 version for it to work).