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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.
The MultiDimensional eXpressions (MDX) language provides a specialized syntax for querying and manipulating the multidimensional data stored in OLAP cubes. [1] While it is possible to translate some of these into traditional SQL, it would frequently require the synthesis of clumsy SQL expressions even for very simple MDX expressions.
In relational databases a virtual column is a table column whose value(s) is automatically computed using other columns values, or another deterministic expression. Virtual columns are defined of SQL:2003 as Generated Column, [1] and are only implemented by some DBMSs, like MariaDB, SQL Server, Oracle, PostgreSQL, SQLite and Firebird (database server) (COMPUTED BY syntax).
Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification, prediction, regression, associations, feature selection, anomaly detection, feature extraction, and specialized analytics.
ClickHouse is a fairly new column-oriented DBMS focusing on fast processing and response times. DuckDB [32] is an in-process SQL OLAP [33] database management system. MonetDB is a mature open-source column-oriented SQL RDBMS designed for OLAP queries.
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Kyvos Viz, Microsoft Excel, Qlik, Tableau, Power BI, MicroStrategy, IBM Cognos, Business Objects, XLCubed, Looker, Altryx, and more Yes Yes Microsoft Analysis Services: Yes Yes Yes .NET [25] Yes [26] Yes [27] Yes Microsoft Excel, SharePoint, Microsoft Power BI, and 70+ other visualization tools No No MicroStrategy Intelligence Server: Yes No ...
OLE DB providers can be created to access such simple data stores as a text file and spreadsheet, through to such complex databases as Oracle, Microsoft SQL Server, Sybase ASE, and many others. It can also provide access to hierarchical data stores such as email systems.