R programming on big data

Use familiar tools and run R workloads at unprecedented scale

Announcing RStudio Integration with Databricks

Increase productivity of R users

Use familiar tools and libraries from the R ecosystem
Benefit from seamless integration with RStudio Server
Quickly parallelize R jobs with SparkR and sparklyr

Simplify access to large data sets

Quickly tap into datasets from various sources
Easily explore data with familiar tools and interfaces
Clean and enrich data faster with optimized format

Enable R workloads at scale

Get results 10-100x faster than Apache Spark™
Auto-scale resources for the most demanding jobs
Lower costs with efficient clusters management

Featured Content on R Programming

Announcing RStudio and Databricks Integration

Blog

R and Spark: How to Analyze Data Using RStudio’s Sparklyr and H2O’s Rsparkling Packages

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Extending the R API for Spark with sparklyr and Microsoft R Server

Video