There is no WORK without R and no R without RStudio
April 22, 2022

There is no WORK without R and no R without RStudio

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with RStudio

It is used by the Data Science team within the department. It helps the team with the reporting functions, tackles business problems from an analytical perspective, and builds up quick interactive tools.
  • Well-designed UI
  • Full support of R
  • Great technical support
  • Better support for the desktop version
  • Seamless workflow that enables quick turnaround for creating end-to-end analytics
  • Easy sharing with the business audience in a wide selection of formats (Shiny, RMarkdown, Dash, Jupyter Notebook, etc.)
  • Provides more options for Python developers and a platform for collaboration between Python and R
  • Robust technical support for all products
RStudio provides technical support with a ticket system. So far 80% of the issues encountered have been resolved by back-and-forth written communication which usually starts with running a diagnostic report, and ends up consuming a significant chunk of time for both parties; the rest can be escalated to a quick call/screen share, which is not offered unless asked. It would be great if screen share can be a readily available option from the beginning, and some of the steps can be optimized so time/effort could be saved.
Open source means easy collaboration and interaction with people who invest much time and energy developing the tools, which then provides a sense of reliability and trust when using the tool. It also provides an opportunity to participate in the process of developing a better tool with a community, which would end up benefiting everyone in their work. It is a virtuous circle for improvement for the entire R community.
RStudio Server Pro provides the workstation for a data scientist to create analytics, which then is curated to content/tools on RStudio Connect that helps the business audience understand a certain business problem better. To be able to reproduce the content, the analytical environment needs to be contained and controlled, so no unexpected dependency issue would disrupt the result. This is taken care of by the Package Manager. These 3 products have worked seamlessly in the daily tasks and provide a great number of intangible benefits not only for the data scientist team but also for the audience who consumes the content.

Do you think RStudio delivers good value for the price?

Yes

Are you happy with RStudio's feature set?

Yes

Did RStudio live up to sales and marketing promises?

Yes

Did implementation of RStudio go as expected?

Yes

Would you buy RStudio again?

Yes

Any analytical problems that start with data could be tackled with R in an agile and flexible manner, and since RStudio does such a good job of embedding R to the product itself, it is great for industries/companies with such problems.

RStudio Feature Ratings

Connect to Multiple Data Sources
10
Extend Existing Data Sources
10
Automatic Data Format Detection
9
Visualization
10
Interactive Data Analysis
10
Interactive Data Cleaning and Enrichment
9
Data Transformations
9
Multiple Model Development Languages and Tools
8
Single platform for multiple model development
9
Self-Service Model Delivery
7
Flexible Model Publishing Options
9
Security, Governance, and Cost Controls
7