The Wayback Machine - https://web.archive.org/web/20161116090152/https://www.microsoft.com/en-us/cloud-platform/r-server-features

Create powerful, portable analytics applications

Connect to, and process, your data wherever it lives—in the cloud or in on-premises data stores—and deliver analytics where they’re needed. Combined with a scalable execution, flexible R data analysis allows you to improve time-to-production and lower your total cost of ownership.

Create powerful, portable analytics applications

Create powerful, portable analytics applications

Create powerful, portable analytics applications

Create powerful, portable analytics applications

Create powerful, portable analytics applications

Features

Expand allCollapse all
RevoScaleR

A growing library of parallelized algorithms, RevoScaleR provides tools for scalable data management and analysis.

  • Access external data sets for analysis in R
  • Efficiently store and retrieve data in a high-performance data file
  • Clean, explore, and manipulate data
  • Fast, basic statistical analysis
Getting started with RevoScaleR
RevoPemaR

A portable framework, RevoPemaR offers scalable and distributable analytics for big data processing. Custom parallel external memory algorithm (PEMA) functions created using RevoPemaR help you:

  • Analyze data sets too big to fit in memory
  • Create scalable data analysis routines that can be developed locally with smaller data sets
  • Perform computations distributed over nodes in a cluster
Getting started with RevoPemaR
In-Hadoop processing

Perform analysis on all of your data inside Hadoop—without sampling or data movement. This R Hadoop solution delivers new value and insights, including:

  • Predicting machine failures and network outages
  • Understanding site-side customer behavior
  • Detecting unusual behavior in secure systems
  • Driving location-specific marketing offers
Watch the R Server with Hadoop best practices webinar
DeployR

Deliver results to any application—web, desktop, or mobile—with seamless integration.

  • Securely deliver R analytics at scale for varying analytics workloads—with support for sophisticated load balancing capabilities
  • Use existing skills and tools to integrate R statistics, analytics, and visualizations inside any IT solution
  • Simplify R analytics deployment and install on either Linux or Microsoft Windows Server platforms
Watch the operationalizing analytics with R Server webinar

Boost big data performance

When your data stores grow, Microsoft R Server can be deployed to perform at scale wherever your big data lives—including databases such as SQL Server 2016, Hadoop clusters, data warehouses, and even data stores in the cloud.

Industries
For customers
For partners
For developers
Values
Company