[MSR] MSDN - Microsoft R products and features

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-- Title : [MSR] MSDN - Microsoft R products and features
-- Reference : microsoft.com
-- Key word : microsoft r server sql r services microsoft r client microsoft r open mro mrs mrc
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-- Microsoft R getting services
    * https://msdn.microsoft.com/en-us/microsoft-r/microsoft-r-getting-started

-- Microsoft R Product Comparison

Component	Role	Support	Intended use
Microsoft R Open (MRO)	Microsoft's distribution of open-source R.	Free of charge and community supported in forums (you cannot contact Microsoft customer support for MRO issues).	As a standalone component, in the same way you would use any other distribution of R. Both R Client and R Server automatically include the MRO package for its delivery of the open source R language. Script or code blocks written against MRO consist of base functions.
Microsoft R Client (MRC)	Adds proprietary packages from Microsoft (RevoScaleR and MicrosoftML) restricted to local execution.	Free of charge and community supported in forums (you cannot contact Microsoft customer support for MRC issues).	As a standalone component, but also as satellite development enivronment that in organizations that also use R Server. R Client overlaps with R Server in the form of common pacakges so that if and when you need the extra capability of R Server, the transition is easy and your code runs intact on R Server with minimal modifications. The purpose of R Client is to provide the benefits of statistical, visual, and analytical functions, but at a lower scale intended for development and local execution.
Microsoft R Server (MRS)	Enterprise class server software, scalable for big data scenarios and rich analytics.	Commercial software, fully supported by Microsoft	Supports parallel and distributed workloads on standalone servers, clustered servers, database platforms like SQL Server and Teradata, and on distributed file systems like Hadoop. Only R Server includes the operationalization features that let you run solutions and scripts on coordinated web and compute node configurations

-- Features by Component

Features	Microsoft R Open	Microsoft R Client	Microsoft R Server
Big Data	In-memory bound Can only process datasets that fit into the available memory	In-memory bound Can process datasets that fit into the available memory Operates on large volumes when connected to R Server	Disk scalability Operates on bigger volumes & factors
Speed of Analysis	Multi-threaded when MKL is installed for non-ScaleR functions	Multi-threaded with MKL for non-ScaleR functions Up to 2 threads for ScaleR functions with a local compute context	Full parallel threading & processing
Enterprise Readiness	Community support	Community support	Commercial support
Analytic Breadth  & Depth	8000+ open source packages	Leverage & optimize open source R packages plus 'Big Data'-ready ScaleR packages	Leverage & optimize open source R packages plus 'Big Data'-ready + Multithreaded ready ScaleR packages
Commercial Viability	Risk of deployment to open source	Free for everyone	Commercial licenses
Operationalization	Not available	Not available	Included

-- Microsoft R Server

Microsoft R Server Editions	Description	Install	ScaleR Get Started
R Server for Hadoop	Scale your analysis transparently by distributing work across nodes without complex programming	Doc	Doc
R Server for Teradata DB	Run advanced analytics in-database for seamless data analysis	Doc	Doc
R Server for Linux	Bring predictive and prescriptive analytics power to your Linux environments	Doc	Doc
R Server for Windows	Bring predictive and prescriptive analytics power to your Windows environments	Doc	Doc

-- Microsoft R Client


-- Microsoft R Open