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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. Comparison of object database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_object...

    Embedded database supporting efficient, distributed management of C++ and Java objects. Avoids the complexities and limitations of ORM products such as Hibernate by storing objects directly with their relationships intact.

  4. Module SQL - Wikipedia

    en.wikipedia.org/wiki/Module_SQL

    Module SQL is a method of combining the computing power of a programming language and the database manipulation capabilities of SQL.Module SQL statements are SQL statements written in an SQL client module, that can be called as routines from the host language program source code like a host language routine.

  5. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    SQL, ODBC, JDBC, ADO.NET, Embedded SQL, C, C++, Python Proprietary Mimer SQL is a general purpose relational database server that can be configured to run fully in-memory. Mimer SQL has full ACID support, support for stored procedures and is the only database that has a full score on SQL compliance Mnesia: Ericsson: 2014 Open Source Erlang License

  6. Language Integrated Query - Wikipedia

    en.wikipedia.org/wiki/Language_Integrated_Query

    The query operators supported by the API are: [3] Select The Select operator performs a projection on the collection to select interesting aspects of the elements. The user supplies an arbitrary function, in the form of a named or lambda expression, which projects the data members.

  7. Prepared statement - Wikipedia

    en.wikipedia.org/wiki/Prepared_statement

    In database management systems (DBMS), a prepared statement, parameterized statement, (not to be confused with parameterized query) is a feature where the database pre-compiles SQL code and stores the results, separating it from data. Benefits of prepared statements are: [1]

  8. Select (SQL) - Wikipedia

    en.wikipedia.org/wiki/Select_(SQL)

    SELECT is the most common operation in SQL, called "the query". SELECT retrieves data from one or more tables, or expressions. Standard SELECT statements have no persistent effects on the database. Some non-standard implementations of SELECT can have persistent effects, such as the SELECT INTO syntax provided in some databases. [4]

  9. Active record pattern - Wikipedia

    en.wikipedia.org/wiki/Active_record_pattern

    [1] [2] The interface of an object conforming to this pattern would include functions such as Insert, Update, and Delete, plus properties that correspond more or less directly to the columns in the underlying database table. The active record pattern is an approach to accessing data in a database. A database table or view is wrapped into a class.