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  2. SQLyog - Wikipedia

    en.wikipedia.org/wiki/SQLyog

    SQLyog works on the Windows platform ranging from Windows Vista [10] to Windows 10. (Windows 9x/ME support was removed in version 5.0, Windows 2000 support stopped with version 8.6, and Windows XP support ended with version 12.5.) It has also been made to work under Linux and various Unixes (including macOS) using the Wine environment. [11]

  3. MySQL - Wikipedia

    en.wikipedia.org/wiki/MySQL

    MySQL (/ ˌ m aɪ ˌ ɛ s ˌ k juː ˈ ɛ l /) [6] is an open-source relational database management system (RDBMS). [6] [7] Its name is a combination of "My", the name of co-founder Michael Widenius's daughter My, [1] and "SQL", the acronym for Structured Query Language.

  4. MySQL Workbench - Wikipedia

    en.wikipedia.org/wiki/MySQL_Workbench

    On April 5, 2018, the MySQL Workbench Team announced [28] the first public release of version 8.0.11 as a Release Candidate (RC) together with MySQL Community Server 8.0.11. The first General Availability (GA) release appeared on July 27, 2018 [ 29 ] again together with the server following the new policy for aligning version numbers across ...

  5. MariaDB - Wikipedia

    en.wikipedia.org/wiki/MariaDB

    MariaDB is a community-developed, commercially supported fork of the MySQL relational database management system (RDBMS), intended to remain free and open-source software under the GNU General Public License.

  6. Comparison of data modeling tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    Access, MS SQL Server, Oracle, MySQL, PostgreSQL, IBM Db2: Windows Standalone 2005 MySQL Workbench: MySQL (An Oracle Company) SMBs - personal Proprietary or GPL: MySQL: Linux, Windows, macOS Standalone 2006 Navicat Data Modeler PremiumSoft SMBs and enterprises Proprietary: MySQL, MS SQL Server, PostgreSQL, Oracle, SQLite: Windows, macOS, Linux ...

  7. MySQL Cluster - Wikipedia

    en.wikipedia.org/wiki/MySQL_Cluster

    MySQL Cluster, also known as MySQL Ndb 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 ]

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