RStudio has great tools for BI and Data Science Teams
January 06, 2021

RStudio has great tools for BI and Data Science Teams

Carlos Celada | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with RStudio

The main user of RStudio is the business analytics team. The risk team has started using the product a couple of months ago. There are two use cases for RStudio inside the organization:
  1. Data analysis and development of statistical / machine learning models.
  2. Development of information dashboards in the form of shiny applications, which are being deployed using RStudio Connect
  • Provides both R and python development environments, which can be deployed to RStudio Connect
  • Authentication integrated with enterprise solutions
  • Well documented for end users and administrators
  • Git integration for code versioning
  • Project sharing is a great feature, but only works if RStudio Server is configured to use local accounts, not when using other authentication methods
  • When used for publishing dashboards, there is a significant licensing cost reduction vs. BI tools
  • Licensing model of RStudio Connect has allowed us to publish shiny apps / dashboards for broader audiences
RStudio Server Pro + RStudio Connect allows greater flexibility and lower cost compared with Cloudera DSW: With RStudio Team licensing we can have multiple installations of RStudio Server on different servers, allowing us to have separate resources for different teams inside the organization. We can also share shiny apps and jupyter notebooks with business stakeholders.
RStudio products are great for technical teams / team members. The integration of both R and python in a single product allows developers to make use of their preferred language for data analysis. Those team members who are analytical but do not have a technical background won't be able to fully use the products; for them it's better to have a different tool for exploratory analysis and BI.