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