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 presented at the R Summit & Workshop in Copenhagen
BeDataDriven was invited to attend the special workshop on the R programming language taking place right before the 2015 UseR! conference in Denmark. We took the opportunity to present our research project "R as a Query Language".
Using the DBI package in Renjin to connect to a variety of databases
R's DBI package provides unified access to a variety of databases. This package is now ported to Renjin and uses JDBC drivers in the background to achieve a nearly identical user experience as packages such as RSQLite, RPostgreSQL, RMySQL, MonetDB.R and ROracle.
New developer documentation and other news
After a long period of silence surrounding Renjin, we are now back with a completely revised guide for Java and R developers as well as some new functionality for creating packages for Renjin.
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.