R Server for HDInsight Reviews & Product Details

As r isn't the most integrated library in terms of big data development, it is extremely helpful HDinsight have a dedicated setup for r server to take any installation steps out of your hands. Ease of setup is extremely handy and much better than setting up a docker container with r yourself. The other option for big data with r would be databricks but HDinsight allows you to write non notebook based code so you can stick to normal script based workflows. Also HDinsight for the most part it cheaper than databricks but obviously if you have massive pipelines costs can rack up pretty easily. Review collected by and hosted on G2.com.

Nowhere near as much documentation/tutorials compared to python samples on HD insight. Since HDinsight is an azure specific product, if you needed to migrate to AWS for example. You would spend more time refactoring than if you used databricks. Review collected by and hosted on G2.com.

This helps me connect to various data sources at once and does not take up my machine's resources to process the data in y pipeline. I like that my code is being run on cloud whereas my development is being done locally Review collected by and hosted on G2.com.

I don't like the initial setup to be done. Like switching to Visual studio (though it is a great tool) but I prefer my R studio over it as it gives me flexibility to view and alter dfs at once Review collected by and hosted on G2.com.

Portable Platform

Fast Funtionality

Convenient way to use R

One destination fast platform

Flexible functionality with customized available platform for users

R programmable Review collected by and hosted on G2.com.

Limitations to only azure based products. If one needs to use say AWS or Alibaba cloud platforms, refactoring has to be done continuously. Review collected by and hosted on G2.com.

It was easy to navigate through. User friendly. Review collected by and hosted on G2.com.

I currently have not come across any features not to my liking. Review collected by and hosted on G2.com.

Gives users the familiarity of the R language for machine learning while leveraging the scalability and reliability built into Hadoop and Spark. It also eliminates memory and processing constraints and easily extends their code from their laptop to large multi-terabyte files producing models that are more powerful and accurate. Review collected by and hosted on G2.com.

Beyond the inclusion of Microsoft ML, MRS 9 allows R models to be exposed as Web services, which is the same way Azure Machine Learning works. Microsoft points out that with the help of open source API framework Swagger, the Web service deployment means that models built in R can be used from virtually any programming language and platform.

Furthermore, with MRS 9, Microsoft says models that are trained in one environment can even be moved to, and scored in, other environments, and that new active-active high availability features in MRS 9 mean these models can be scaled for high-demand production use. Review collected by and hosted on G2.com.

Flexible and easier to use with better algorithms . New users or beginners can easily pick up and learn to use Review collected by and hosted on G2.com.

Lots of steps to take to begin set up and begin - not many other cons to product Review collected by and hosted on G2.com.

Much faster performance using the R Server especially with open source R. Easy to set up and quick results also. Review collected by and hosted on G2.com.

It is a little hard to navigate around, especially if you are a first time user. Review collected by and hosted on G2.com.

I loved every single aspect of the servers. Review collected by and hosted on G2.com.

Genuinely speaking there wasn’t a thing I had to complain about with the servers. Review collected by and hosted on G2.com.

It's reliable and easy to use. different models exist from which to choose from. Review collected by and hosted on G2.com.

It can be difficult to get used to and feel slow at times Review collected by and hosted on G2.com.