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  2. 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.

  3. Template:HeidiSQL version - Wikipedia

    en.wikipedia.org/wiki/Template:HeidiSQL_version

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  4. List of Unified Modeling Language tools - Wikipedia

    en.wikipedia.org/wiki/List_of_Unified_Modeling...

    Includes glossary, data dictionary, and issue tracking. Supports use case diagrams, auto-generated flow diagrams, screen mock-ups, and free-form diagrams. clang-uml: Un­known Un­known Un­known Un­known No C++ PlantUML, Mermaid.js Generate PlantUML and Mermaild.js diagrams from existing C++ codebase. Dia: Partly No No No

  5. Dia (software) - Wikipedia

    en.wikipedia.org/wiki/Dia_(software)

    Dia has special objects to help draw entity-relationship models, Unified Modeling Language (UML) diagrams, flowcharts, network diagrams, and simple electrical circuits. It is also possible to add support for new shapes by writing simple XML files, using a subset of Scalable Vector Graphics (SVG) to draw the shape.

  6. diagrams.net - Wikipedia

    en.wikipedia.org/wiki/Diagrams.net

    In 2011, the company started publishing its hosted service for the mxGraph web application under a separate brand, Diagramly with the domain "diagram.ly". [12]After removing the remaining use of Java applets from its web app, the service rebranded as draw.io in 2012 because the ".io suffix is a lot cooler than .ly", said co-founder David Benson in a 2012 interview.

  7. Comparison of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_relational...

    Note (3): Can be emulated by indexing a computed column [122] (doesn't easily update) or by using an "Indexed View" [123] (proper name not just any view works [124]). Note (4): Used for InMemory ColumnStore index, temporary hash index for hash join, Non/Cluster & fill factor. Note (5): InnoDB automatically generates adaptive hash index [125 ...