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SQLAlchemy offers tools for database schema generation, querying, and object-relational mapping. Key features include: A comprehensive embedded domain-specific language for SQL in Python called "SQLAlchemy Core" that provides means to construct and execute SQL queries. A powerful ORM that allows the mapping of Python classes to database tables.
SQLObject is a Python object-relational mapper between a SQL database and Python objects. It is experiencing community popularity, and forms a part of many applications (e.g., TurboGears ). It is very similar to Ruby on Rails ' ActiveRecord in operation in that it uses class definitions to form table schemas, and utilizes the language's ...
SQLite is included in Python and is the default web2py database. A connection string change allows connection to Firebird, IBM Db2, Informix, Ingres, Microsoft SQL Server, MySQL, Oracle, PostgreSQL, and Google App Engine (GAE) with some caveats. Specialities: Multiple database connections. Automatic table creates and alters. Automatic transactions.
The MySQL Datacontroller storage engine for the MySQL relational database management system is a storage engine which allows a user to create a table that is a local representation of a foreign (remote) table. The foreign table can be located into another storage engine like Oracle or Microsoft SQL Server (MSSQL).
A relational database organizes data into one or more data tables in which data may be related to each other; these relations help structure the data. SQL is a language that programmers use to create, modify and extract data from the relational database, as well as control user access to the database.
SQL statements are used to perform tasks such as insert data to a database, delete or update data in a database, or retrieve data from a database. Though database systems use SQL, they also have their own additional proprietary extensions that are usually only used on their system. For example, Microsoft SQL server uses Transact-SQL (T-SQL ...
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
The nested set model is a technique for representing nested set collections (also known as trees or hierarchies) in relational databases.. It is based on Nested Intervals, that "are immune to hierarchy reorganization problem, and allow answering ancestor path hierarchical queries algorithmically — without accessing the stored hierarchy relation".