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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.
Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.
SQL Server Management Objects (SMO) are .NET objects introduced by Microsoft as of Microsoft SQL Server 2005, designed to allow for easy and simple programmatic management of Microsoft SQL Server. [1] Using SMO, .NET programmers can design applications similar in functionality to Microsoft's SQL Server Management Studio.
In very early versions of the SQL standard the return code was called SQLCODE and used a different coding schema. The following table lists the standard-conforming values - based on SQL:2011 . [ 1 ] The table's last column shows the part of the standard that defines the row.
Microsoft SQL Server 2017: RC1: Proprietary: SQL/T-SQL, R, Python: Offers graph database abilities to model many-to-many relationships. The graph relationships are integrated into Transact-SQL, and use SQL Server as the foundational database management system. [34] NebulaGraph: 3.7.0: 2024-03: Open Source Edition is under Apache 2.0, Common ...
Stack Overflow is written in C# using the ASP.NET MVC (Model–View–Controller) framework, and Microsoft SQL Server for the database [38] and the Dapper object-relational mapper used for data access. [39]
Cypher is a query language for the Neo4j graph database; DMX is a query language for data mining models; Datalog is a query language for deductive databases; F-logic is a declarative object-oriented language for deductive databases and knowledge representation. FQL enables you to use a SQL-style interface to query the data exposed by the Graph API.
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.