Big data analytics to the power of RBig data analytics to the power of R

Big data analytics to the power of R

Use R—the powerful, statistical programming language—in an enterprise-class, big data analytics platform. Microsoft R Server is your flexible choice for analyzing data at scale, building intelligent apps, and discovering valuable insights across your business.

Now you can use the popular, open-source R language to bring advanced analytics to your business with Microsoft R Server. Continue to work in your preferred R environment—including Hadoop, Teradata, and Linux—to create fast, predictive analytics combined with the performance and flexibility you need.

Supporting a variety of big data statistics, predictive modeling, and machine-learning capabilities, R Server supports a full range of analytics, from exploration to analysis to visualization to modeling. It’s fully compatible with R scripts, functions, and comprehensive R archive network (CRAN) packages to analyze data at enterprise scale.

Benefits

Flexible and agile

Flexible and agile

With R Server being able to run both on-premises and in the cloud on Azure Virtual Machines, you can model on-premises and score in the cloud without the need for rewrites.

Exceptional performance

Exceptional performance

Extend your analytics performance through parallelized algorithms with multi-threading across processors and compute nodes.

Cost-effective

Cost-effective

Keep costs contained with minimum investment required to train developers in R, a lower start-up investment and total cost of ownership, and the ability to work on commodity hardware.

Open benefits, enterprise support

Open benefits, enterprise support

Get all the benefits of the open-source R language with the enterprise security and support of Microsoft. It’s the best of both worlds.

Built for breakthrough scale

Built for breakthrough scale

Able to scale R analytics, R Server is built to handle massive data sizes and computation on hundreds of nodes. Its big-data capable architecture includes ScaleR algorithms optimized for fast parallel execution, DistributedR parallel computing framework for managing compute resources, and ConnectR for versatile connections to data sources.

Supported R Server environments

Develop and run R models on your platform of choice

  • Hadoop/Apache Spark —Scale your analysis transparently by distributing work across nodes without complex programming
  • Teradata database—Run advanced analytics in-database for seamless data analysis
  • Windows—R Server for Windows will ship as R Services in SQL Server 2016 currently available as a Community Technology Preview (CTP)
  • Linux—Enable predictive and prescriptive analytics while making the most of your open-source investments