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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. Support for database schema migrations. Compatibility with multiple database backends.
SQLite (/ ˌ ɛ s ˌ k juː ˌ ɛ l ˈ aɪ t /, [4] [5] / ˈ s iː k w ə ˌ l aɪ t / [6]) is a database engine written in the C programming language.It is not a standalone app; rather, it is a library that software developers embed in their apps.
Cursors can not only be used to fetch data from the DBMS into an application but also to identify a row in a table to be updated or deleted. The SQL:2003 standard defines positioned update and positioned delete SQL statements for that purpose. Such statements do not use a regular WHERE clause with predicates. Instead, a cursor identifies the row.
SQLite: SQLite Open Source (Public domain) SQL database that supports in-memory storage with the :memory: connection string. [12] Tarantool: Mail.ru Group 2010 Open Source (BSD) In-memory database and application server (data grid) TerminusDB: TerminusDB (formerly DataChemist) 2019 JavaScript, Python, Prolog, Rust, JSON-LD: Open Source (Apache 2.0)
Python/Django SQL Other dbfiddle [am] Free No No No Yes Db2, Firebird, MariaDB, MySQL, Node.js, Oracle, Postgres, SQL Server, SQLite, YugabyteDB ExtendsClass [an] Free Yes No No Yes MySQL, SQLite (SQL.js) PhpFiddle [ao] Free Yes No No Yes MySQL, SQLite runnable [aj] Free Yes Yes Yes No SQL Fiddle [ap] Free No No No Yes
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 ...
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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.