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Wikipedia SQL dump parser is a .NET library to read MySQL dumps without the need to use MySQL database WikiDumpParser – a .NET Core library to parse the database dumps. Dictionary Builder is a Rust program that can parse XML dumps and extract entries in files
The Database Access Library is a database-independent library that provides an easy-to-use API to work with any of the supported databases. Custom SQL statements, stored procedures and views are all supported. The Database Access Library also provides built-in support for connection sharing, transactions and has the capability to get the ...
Sequelize, Node.js ORM tool for Postgres, MySQL, MariaDB, SQLite, DB2, Microsoft SQL Server, and Snowflake; Typeorm, Typescript/Javascript scalable ORM tool; MikroORM, TypeScript ORM based on Data Mapper, Unit of Work and Identity Map patterns. Supports PostgreSQL, MySQL, SQLite (including libSQL), MongoDB, and MariaDB
MySQL PostgreSQL MS SQL Server ODBC JDBC SQLite Other Programming language; DatabaseSpy: Altova: 2019-04-02: 2019r3 [1] Proprietary: Yes No No Yes Yes Yes Yes Yes Yes IBM Db2, Sybase, MS Access: C++: Database Workbench: Upscene Productions 2024-05-14 6.5.0 Proprietary: Yes needs Wine: needs Wine: Yes Yes Yes Yes Yes Yes InterBase, Firebird ...
Starting with MySQL Workbench 5.2 the application has evolved to a general database GUI application. Apart from physical database modeling it features an SQL Editor, database migration tools, and a database server administration interface, replacing the old MySQL GUI Tools Bundle.
The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).
SQL includes operators and functions for calculating values on stored values. SQL allows the use of expressions in the select list to project data, as in the following example, which returns a list of books that cost more than 100.00 with an additional sales_tax column containing a sales tax figure calculated at 6% of the price.
The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: schema matching is the process of identifying that two objects are semantically related (scope of this article) while mapping refers to the transformations between the objects.