RStudio

RStudio

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Top Rated
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Score 8.8 out of 100
Top Rated
RStudio

Overview

Recent Reviews

RStudio for Business Analysis

9 out of 10
July 18, 2022
We use RStudio as an analysis tool to perform complex data analysis problems and scenarios. We build different statistical models to …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 12 features
  • Visualization (23)
    8.8
    88%
  • Connect to Multiple Data Sources (22)
    8.4
    84%
  • Extend Existing Data Sources (23)
    8.3
    83%
  • Automatic Data Format Detection (22)
    7.5
    75%

Reviewer Pros & Cons

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Video Reviews

1 video

User Review: RStudio Proves To Be A Reliable Statistical Tool W/ Support Avenues In Place If Needed
User Review: RStudio Proves To Be A Reliable Statistical Tool W/ Support Avenues In Place If Needed
02:53

Pricing

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What is RStudio?

RStudio is a modular data science platform, combining open source and commercial products. The vendor states their open source offerings, such as the RStudio IDE, Shiny, rmarkdown and the many packages in the tidyverse, are used by millions of data scientists around the world to enhance…

Entry-level set up fee?

  • Setup fee optional
For the latest information on pricing, visithttps://rstudio.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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Anaconda is an open source Python distribution / data discovery & analytics platform.

Product Demos

Video Reviews

1 video

J.J. Allaire | Open Source Software for Data Science | RStudio (2020)
J.J. Allaire | Open Source Software for Data Science | RStudio (2020)
41:00

Features Scorecard

Platform Connectivity

8.1
81%

Data Exploration

8.7
87%

Data Preparation

8.5
85%

Platform Data Modeling

8.4
84%

Model Deployment

8.1
81%

Product Details

What is RStudio?

RStudio is a modular data science platform, combining open source and commercial products.

The vendor states their open source offerings, such as the RStudio IDE, Shiny, rmarkdown and the many packages in the tidyverse, are used by millions of data scientists around the world to enhance the production and consumption of knowledge by everyone, regardless of economic means.

Their commercial software products, including RStudio Workbench, RStudio Connect, and RStudio Package Manager, are available as a bundle in RStudio Team. These products aim to give organizations the confidence to adopt R, Python and other open-source data science software at scale. This enables data science teams using R and Python to deliver interactive reports and applications to decision makers, leverage large amounts of data, integrate with existing enterprise systems, platforms, and processes, and be compliant with security practices and standards.

The platform is complemented by online services, including RStudio Cloud and shinyapps.io, to make it easier to do, teach and learn data science, and share data science insights with others, over the web.

Together, RStudio’s open-source software and commercial software form a virtuous cycle: The adoption of open-source data science software at scale in organizations creates demand for RStudio’s commercial software; and the revenue from commercial software, in turn, enables deeper investment in the open-source software that benefits everyone.

RStudio Features

Platform Connectivity Features

  • Supported: Connect to Multiple Data Sources
  • Supported: Extend Existing Data Sources
  • Supported: Automatic Data Format Detection

Data Exploration Features

  • Supported: Visualization
  • Supported: Interactive Data Analysis

Data Preparation Features

  • Supported: Interactive Data Cleaning and Enrichment
  • Supported: Data Transformations

Platform Data Modeling Features

  • Supported: Multiple Model Development Languages and Tools
  • Supported: Single platform for multiple model development
  • Supported: Self-Service Model Delivery

Model Deployment Features

  • Supported: Flexible Model Publishing Options
  • Supported: Security, Governance, and Cost Controls

Additional Features

  • Supported: Share Data Science insights in the form of Shiny applications, R Markdown reports, Plumber APIs, dashboards, Jupyter Notebooks, interactive Python content, and more.

RStudio Screenshots

Screenshot of RStudio runs on most desktops or on a server and accessed over the webScreenshot of RStudio supports authoring HTML, PDF, Word Documents, and slide showsScreenshot of RStudio supports interactive graphics with Shiny and ggvisScreenshot of Shiny combines the computational power of R with the interactivity of the modern webScreenshot of Remote Interactive Sessions: Start R and Python processes from RStudio Workbench within various systems such as Kubernetes and SLURM with Launcher.Screenshot of Use Jupyter: Author and edit your Python code with Jupyter using the same RStudio Workbench infrastructure.Screenshot of RStudio Connect makes it easy to deploy Interactive Python Applications (including Dash, Bokeh and Streamlit), in the same place you share your Shiny apps.

RStudio Videos

Open Source Software for Data Science - CEO J.J. Allaire provides an overview of RStudio's mission, and why we've become a Public Benefits Corporation.

Watch Overview of RStudio Connect

RStudio Integrations

RStudio Competitors

RStudio Technical Details

Deployment TypesOn-premise, SaaS
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo

Frequently Asked Questions

Anaconda, Dataiku DSS, and Cloudera Data Science Workbench are common alternatives for RStudio.

Reviewers rate Visualization highest, with a score of 8.8.

The most common users of RStudio are from Enterprises (1,001+ employees) and the Research industry.

Comparisons

View all alternatives

Reviews

(1-25 of 52)
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Score 10 out of 10
Vetted Review
Verified User
Review Source
I think shinyapps.io improves communication, especially through interactive visualization. In my job I am often expected to make very complex, abstract ideas (that take many years to fully understand or develop) simple and "communicable" to the non-technical audiences within minutes (literally, minutes).
Score 8 out of 10
Vetted Review
Verified User
Review Source
Shinyapps.io has been really helpful in hosting interactive data GUIs for users/consumers of our data analytics in the form of a separate user interface that is easier to understand, and it allows users who are less comfortable with R to use to view and consume the analyzed data in a consistent way.
September 11, 2021

RStudio for R!

Score 9 out of 10
Vetted Review
Verified User
Review Source
RStudio generously offered RSPM (package manager), which offers binary installation for Linux-based OS, and this really helps with quicker project start-up.
Score 8 out of 10
Vetted Review
Verified User
Review Source
We are not using the above apps, this is currently a private, internal installation. To satisfy InfoSec we needed a non-cloud solution that could be backed by AD. On an on-premise installation was required. This has worked well for us, though it was not a simple exercise to set it up initially.
Jeff Keller | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
We use RStudio's public Package Manager instance to speed up build/compilation time of our Linux compute environments. Building R packages from source can be computationally and time expensive. The fact that RStudio has built these packages for a variety of Linux platforms and CPU architectures is a boon to the wider R community.
Score 10 out of 10
Vetted Review
Verified User
Review Source
The introduction of RStudio Cloud was a game changer. Installation as well as file and package management are a nightmare for both students and instructors, and allowing for web-based access to Rstudio eliminates equity issues for students who can't afford Windows/Mac computers. The ability for the instructor to pre-set-up the environment/packages/files for students allows for a much more pleasant start to the R learning journey, which is critical to get buy-in for students to learn. The instructor can provide direct coding/debugging support for a student's project by logging into the student's session, and assignment management is incredibly streamlined.
However I am not happy with the current pricing model. Not enough hours are allotted in the free tier for students to handle the workload of an applied stats class. In the shared workspace model where students "charge" their hours toward the instructor's workspace, that is far too few hours to handle a typical class size of 30, let alone larger class sizes. The expectation that a faculty member (or department) will pay out of pocket upwards of $800 for a typical class of 30 is unrealistic.
Score 8 out of 10
Vetted Review
Verified User
Review Source
I haven't actually used shinyapps.io but actually might be using it in day's time. It is so great to write a review here right now because we are trying to solve a problem with shiny (secure access, scalability) and were reminded that RStudio has the shinyapps.io to solve our problem. What a coincidence. I think this tool will be helpful to visualize our data real-time without getting into the difficulty of complicated back-end programming. This is amazing!