Make R Programming on Big Data simpler With Databricks

Why Databricks + RStudio?

Increase productivity of R users

The seamless integration between Databricks and RStudio allows data scientists to use familiar tools and languages to run and execute R jobs on Databricks directly in RStudio IDE.

Simplify access to large data sets

Unify datasets in Databricks for your R-based machine learning and AI projects with the ability to code in RStudio. Databricks provides scalable data processing with Delta Lake and optimized Apache Spark to clean, blend and join datasets in an open data format.

Enable distributed R computing at scale

Databricks supports R as a first-class language, offering unprecedented performance (up to 100x faster than Apache Spark) as well as the ability to auto-scale cloud-based clusters to handle the most demanding jobs, while keeping the total cost of ownership low.

RStudio and Databricks Integration

For data scientists looking at scaling out R-based computing to big data, Databricks provides a Unified Analytics Platform that is easy to setup and integrates with the most popular R tools and frameworks.

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How it works

Access RStudio IDE on Databricks

Install your desired RStudio Server version (open source or pro) on a Databricks cluster. Seamlessly use Apache Spark™ from RStudio IDE inside Databricks using both SparkR or sparklyr.

Prepare high-quality data sets for analyses

Clean, blend and join data sets using RStudio’s familiar interface and tools without the need for cluster management. Access data from Delta tables or external data sources using Apache Spark.