AWS has collaborated with RStudio PBC to announce the general availability of RStudio on Amazon SageMaker — a fully managed RStudio Workbench IDE in the cloud.
RStudio is an open-source data science company that makes free & open-source tools for R & Python and enterprise software for teams to develop and share their work at scale, headquartered in Boston.
While RStudio provides many different ways to support an organisation’s cloud strategy, many customers also use Amazon SageMaker. So, they wanted an easier way to combine RStudio’s professional products with SageMaker’s rich machine learning and deep learning capabilities and incorporate RStudio into their data science infrastructure on SageMaker.
“RStudio is excited to collaborate with the Amazon SageMaker team on this release as they make it easier for organisations to move their open-source data science workloads to the cloud. We are committed to helping our joint customers use our commercial offerings to bring their production workloads to Amazon’s SageMaker and to further collaborations with the Amazon SageMaker team,” said Tareef Kawaf, President, RStudio PBC.
With RStudio on Amazon SageMaker, administrators can have a simple experience to migrate their RStudio environments to integrate into Amazon SageMaker and bring existing RStudio licenses to manage through AWS License Manager. In addition, they can onboard both R and Python developers to the same Amazon SageMaker domain using AWS Single Sign-On (SSO) or AWS Identity and Access Management (IAM) and take it as a centralised place to configure both RStudio and Amazon SageMaker Studio.
So, data scientists have a freedom of choice between programming languages and coding interfaces to switch between RStudio and Amazon SageMaker Studio notebooks. Furthermore, all of their work, including code, datasets, repositories, and other artefacts, are synchronised between the two environments through the underlying Amazon EFS storage.
One can bring their current RStudio license to easily migrate self-managed RStudio environments to Amazon SageMaker in just a few simple steps. One can find it here.
