m Clarified that IBM (not IBM Netezza) is the vendor. Clarified that MonetDB is a product name and not a vendor. Clarified that not only MonetDB allows users to extend product capabilities. Added commas. Made terms that are not proper nouns lowercase.
In-database processing is performed and promoted as a feature by many of the major data warehousing vendors, including [[Teradata]] (and acquired [[Aster Data Systems|Aster Data Systems, which it acquired]]), IBM (with its [[Netezza]], EMCPureData Systems, and dashDB products), IEMC [[Greenplum]], [[Sybase]], [[ParAccel]], SAS, and [[EXASOL]]. Some Theof [[open-source]]the [[column-orientedproducts database|column-store]]offered by these vendors, such as CWI's [[MonetDB]] alsoor supportsIBM's in-databasedashDB, processingoffer throughusers Cthe andmeans [[Rto write their own functions (programmingUDFs) languageor extensions (UDXs)|R]]UDFsto enhance the products' capabilities.<ref>{{cite web | url = https://www.monetdb.org/content/embedded-r-monetdb | title = Embedded R in MonetDB | date = 22 December 2014}}</ref> [[Fuzzy Logix]] offers libraries of in-database models used for mathematical, statistical, data mining, simulation, and classification modelling, as well as financial models for equity, fixed income, interest rate, and portfolio optimization. [http://in-database.com In-DataBase Pioneers] collaborates with Marketingmarketing &and IT teams to institutionalize Datadata Miningmining and Analyticanalytic Processesprocesses inside the Datadata Warehousewarehouse for fast, reliable, and customizable Consumer Behaviorconsumer-behavior and Predictivepredictive Analyticsanalytics.
