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  2. Kexi - Wikipedia

    en.wikipedia.org/wiki/Kexi

    The application can also import data (tables) from external data sources (MySQL, PostgreSQL, Microsoft Access files, dBASE files) and export data to MySQL or PostgreSQL servers. There is rich support for importing and exporting CSV files. The same CSV format can be used for copying and pasting clipboard data so the data can be easily ...

  3. Prepared statement - Wikipedia

    en.wikipedia.org/wiki/Prepared_statement

    Major DBMSs, including SQLite, [5] MySQL, [6] Oracle, [7] IBM Db2, [8] Microsoft SQL Server [9] and PostgreSQL [10] support prepared statements. Prepared statements are normally executed through a non-SQL binary protocol for efficiency and protection from SQL injection, but with some DBMSs such as MySQL prepared statements are also available using a SQL syntax for debugging purposes.

  4. PostgreSQL - Wikipedia

    en.wikipedia.org/wiki/PostgreSQL

    PostgreSQL (/ ˌ p oʊ s t ɡ r ɛ s k j u ˈ ɛ l / POHST-gres-kew-EL) [11] [12] also known as Postgres, is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance.

  5. Navicat - Wikipedia

    en.wikipedia.org/wiki/Navicat

    This is a standalone product for developers to create data models for MySQL, SQL Server, Oracle, PostgreSQL and SQLite databases. Navicat Data Modeler allows users to visually design database structures, perform reverse/forward engineer process, import table structures from ODBC data sources, generate SQL files and print models to files, etc.

  6. Michael Stonebraker - Wikipedia

    en.wikipedia.org/wiki/Michael_Stonebraker

    The new project was named POSTGRES (POST inGRES), [19] and was designed to add support for complex data types to database systems and improve end-to-end performance of data-intensive applications. Postgres provided an object relational programming model in which fields could be complex datatypes, and where users could register new types as well ...

  7. Open Database Connectivity - Wikipedia

    en.wikipedia.org/wiki/Open_Database_Connectivity

    Unlike the later ODBC, Blueprint was a purely code-based system, lacking anything approximating a command language like SQL. Instead, programmers used data structures to store the query information, constructing a query by linking many of these structures together. Lotus referred to these compound structures as query trees. [2]

  8. Doctrine (PHP) - Wikipedia

    en.wikipedia.org/wiki/Doctrine_(PHP)

    One of Doctrine's key features is the option to write database queries in Doctrine Query Language (DQL), an object-oriented dialect of SQL. Developers of two major PHP frameworks, Symfony and Laminas have official out-of-the-box support for Doctrine, while 3rd party Doctrine packages are available for Laravel , CodeIgniter and others.

  9. QUEL query languages - Wikipedia

    en.wikipedia.org/wiki/QUEL_query_languages

    QUEL is a relational database query language, based on tuple relational calculus, with some similarities to SQL.It was created as a part of the Ingres DBMS effort at University of California, Berkeley, based on Codd's earlier suggested but not implemented Data Sub-Language ALPHA.