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Score 8.8 out of 100
Top Rated


Recent Reviews

Great Product for Data Analysis

8 out of 10
September 01, 2022
RStudio helps our large team of conservation researchers address problems relating to data management, cleaning, and processing. In …
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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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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 (24)
  • Connect to Multiple Data Sources (23)
  • Extend Existing Data Sources (24)
  • Automatic Data Format Detection (23)

Reviewer Pros & Cons

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Video Reviews

2 videos

User Review: RStudio Proves To Be A Reliable Statistical Tool W/ Support Avenues In Place If Needed
User Review: RStudio Works As An Useful Tool But User Finds Free Version Could Be More Competitive
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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
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  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

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What is IBM SPSS?

SPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and…

What is Anaconda?

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

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Product Demos

J.J. Allaire | Open Source Software for Data Science | RStudio (2020)
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Features Scorecard

Platform Connectivity


Data Exploration


Data Preparation


Platform Data Modeling


Model Deployment

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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, 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 Single platform for multiple model development highest, with a score of 8.7.

The most common users of RStudio are from Enterprises (1,001+ employees) and the Research industry.
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Companies can't remove reviews or game the system. Here's why
Kenton Woods | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses.
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