With the launch of Microsoft R Server 9.1, many optimizations and new features were delivered to our users. One key feature is interoperability between Microsoft R Server and sparklyr. It allows users to utilize Spark as the backend for dplyr, one of the most popular data manipulation packages. Another key feature is it allows users the ability to use Spark integrated Machine Learning algorithms directly from within R. For H2O users, the Microsoft R Server sparklyr Interop can be used to covert sparklyr data frames to H2O data frames. This allows data imported from Microsoft R Server to be used with H2O modelling and data partitioning algorithms, via the rsparkling package.