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  2. SQLAlchemy - Wikipedia

    en.wikipedia.org/wiki/SQLAlchemy

    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.

  3. SQLObject - Wikipedia

    en.wikipedia.org/wiki/SQLObject

    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 ...

  4. SQL - Wikipedia

    en.wikipedia.org/wiki/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 ...

  5. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    Relationships are first-class citizens in a graph database and can be labelled, directed, and given properties. Some depend on a relational engine and store the graph data in a table (although a table is a logical element, therefore this approach imposes a level of abstraction between the graph database management system and physical storage ...

  6. Create, read, update and delete - Wikipedia

    en.wikipedia.org/wiki/Create,_read,_update_and...

    CRUD is also relevant at the user interface level of most applications. For example, in address book software, the basic storage unit is an individual contact entry. As a bare minimum, the software must allow the user to: [6] Create, or add new entries; Read, retrieve, search, or view existing entries; Update, or edit existing entries

  7. Query language - Wikipedia

    en.wikipedia.org/wiki/Query_language

    A query language, also known as data query language or database query language (DQL), is a computer language used to make queries in databases and information systems. In database systems, query languages rely on strict theory to retrieve information. [1] A well known example is the Structured Query Language (SQL).

  8. Google App Engine - Wikipedia

    en.wikipedia.org/wiki/Google_App_Engine

    SDK version 1.2.2 added support for bulk downloads of data using Python. [9] App Engine's integrated Google Cloud Datastore database has a SQL-like syntax called "GQL" (Google Query Language). GQL does not support the join statement. [10] Instead, one-to-many and many-to-many relationships can be accomplished using ReferenceProperty(). [11]

  9. 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.