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.
Renjin update at EuroBioc2017
Parham shared an update on Renjin compatibility with BioConductor at the EU BioConductor Workshop in Cambridge
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
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.