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MySQL ( / ˌmaɪˌɛsˌkjuːˈɛl /) [5] is an open-source relational database management system (RDBMS). [5] [6] Its name is a combination of "My", the name of co-founder Michael Widenius 's daughter My, [7] and "SQL", the acronym for Structured Query Language.
It was developed by MySQL AB, and enables users to graphically administer MySQL databases and visually design database structures. Adminer – free MySQL front end capable of managing multiple databases, with many CSS skins available. It is a light-weight alternative to phpMyAdmin, distributed under the Apache license (or GPL v2) as a single ...
LAMP ( L inux, A pache, M ySQL, P erl/ P HP/ P ython) is an acronym denoting one of the most common software stacks for the web's most popular applications. Its generic software stack model has largely interchangeable components. [1] Each letter in the acronym stands for one of its four open-source building blocks: L inux for the operating system.
MySQL Workbench is a visual database design tool that integrates SQL development, administration, database design, creation and maintenance into a single integrated development environment for the MySQL database system. It is the successor to DBDesigner 4 from fabFORCE.net, and replaces the previous package of software, MySQL GUI Tools Bundle .
DBeaver is a SQL client software application and a database administration tool. For relational databases it uses the JDBC application programming interface (API) to interact with databases via a JDBC driver. For other databases ( NoSQL) it uses proprietary database drivers. It provides an editor that supports code completion and syntax ...
MySQL, SQLite (SQL.js) PhpFiddle : Free Yes No No Yes MySQL, SQLite runnable : Free Yes Yes Yes No SQL Fiddle : Free No No No Yes MySQL, Oracle, PostgreSQL, SQLite (WebSQL), SQLite (SQL.js) W3Schools: Free Yes No No Yes tutorials
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]
Structured Query Language ( SQL) ( pronounced S-Q-L; historically "sequel") [4] [5] is a domain-specific language used to manage data, especially in a relational database management system (RDBMS). It is particularly useful in handling structured data, i.e., data incorporating relations among entities and variables.