Renjin will allow R scripts to transparently interact with data wherever it’s stored, whether that’s on disk, in a remote database, or in the cloud.
Renjin offers performance improvements in executing R code using techniques such as deferred computation, implicit paralellism, and just-in-time compilation.
Renjin enables R developers to deploy their code to Platform-as-a-Service providers like Google Appengine, Amazon Beanstalk or Heroku.
Built on the JVM, Renjin allows R code to interact directly with JVM libraries and data structures, without the need for expensive data transfer or brittle inter-process communication.
More productive development
With Renjin, analysts can move directly from prototype to production. There is no need to port R code to C++ or Java for production use.
OLAP Server icCube 6.5 Released with updated Renjin integration
The OLAP Server and Interactive Analytics solution icCube uses Renjin to provide access to R functions and packages from within their MDX query language.
Renjin Docker image available on Docker Hub via o2r
The o2r project has made an Dockerfile for Renjin available on DockerHub
R for Processing
The Processing.R project uses Renjin to enables users to write Processing sketches using the R language.
CRAN packages are automatically built and tested against Renjin. Many of them can be loaded directly into Renjin without the need to install them first.
Renjin is a project initiated by BeDataDriven, a company providing consulting in analytics and decision support systems. We also provide commercial support for Renjin.