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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.
Download as PDF. Printable version. Appearance. move to sidebarhide. From Wikipedia, the free encyclopedia. The following tables compare general and technical information for a number of available database administrationtools. Please see individual product articles for further information.
Visual Studio Code, also commonly referred to as VS Code, [9] is a source-code editor developed by Microsoft for Windows, Linux, macOS and web browsers. [10] [11] Features include support for debugging, syntax highlighting, intelligent code completion, snippets, code refactoring, and embedded version control with Git.
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.
HeidiSQL version. 12.1 [1] This template is transcluded in HeidiSQL and Comparison of database tools . The current HeidiSQL stable version is 12.1 [1] , released on 2022-08-13 [±] . ^ a b "Releases - HeidiSQL/HeidiSQL". github.com. Retrieved 2022-08-26. Category: Latest stable software release templates.
Outline of MySQL. The following outline is provided as an overview of and topical guide to MySQL: MySQL ("My Structured Query Language ") – world's second most [a] widely used relational database management system (RDBMS) [3] and most widely used open-source RDBMS. [4] It is named after co-founder Michael Widenius 's daughter, My.
Comparison of MySQL database engines. 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 . Name.
Database Workbench can be used to view, create and edit tables, indexes, stored procedures and other database meta data objects. It also supports: [19] visual database design/diagramming, both conceptual and physical, including reverse engineering. testing SQL queries and viewing query plans. step-by-step debugging of stored routines.
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