RStudio

RStudio

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Top Rated
About TrustRadius Scoring
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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Unavailable

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

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 115)
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Score 10 out of 10
Vetted Review
Verified User
Review Source
  • I landed a good job every single time I showed my RStudio implementations during my interviews
  • every single time I developed RShiny app, it has been a success business-wise
  • R helps to validate some of the other commercial systems, thus helping to make more informed business decisions, for example when choosing a commercial supplier or making an investment decision or planning R&D strategies...also simply because R helps to bring stakeholders together regarding communication of the scientific results
  • good for advertising: a funny story - at some point in my career I was prevented to show my app to more customers as they started asking whether this is a product and whether they can buy it together with another product (perhaps R could create some type of fast-track legal pipeline for commercialization of the R-based apps)
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • 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
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Helps speed up the process of new report creation and provides the organization with better visibility into data
  • Iterative analysis run through RStudio helps in decision making in meetings
  • Makes the organization data-centric and enhances possibilities to go granular into data for better business strategy
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • I am an end-user and won't know from Org's perspective, but yes, switching from Alteryx to RStudio saved a lot of money and raised eyebrows on our budget.
  • The simple fact that not only the IDE is free but also the entire ecosystem makes it really powerful.
  • The community is really welcoming and helpful.
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • It enabled our organization to have a common platform for data analysis and for running R, which led to higher efficiencies between groups.
  • It provided us with the ability to develop GUIs through RShiny for users who preferred to work with a different user interface which allowed us to reach a higher user base and extend the efficiencies further.
  • It expedited some of our analysis workstreams by helping analysts and developers develop scripts faster through its tools and open source offerings.
Kunal Sonalkar | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Positive impact is when you automate excel reports using Shiny applications, it ends up saving a lot of time and money.
  • It's easy to catch on so with a little training and sound math background you can start coding right away.
  • Its compatibility with other platforms like SQL databases, Salesforce, Tableau , etc is amazing and makes it worth the investment. It doesn't have any negatives as such.
Suryaprakash Mishra | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • Much cheaper option then SAS.
  • Data science and machine learning- used to solve complex business problems.
  • Enables to launch Data Science project in Cloud-based environment.
Chris Beeley | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • RStudio has enabled us to launch data science projects in the cloud at scale, which has brought in at least 10x more money than we spent on the licences.
  • RStudio products are nice to use for my staff and I think are good to retain good people.
  • RStudio allows us to put analytic products in the hands of managers rapidly, which is vitally important for us.
January 18, 2022

RStudio is wonderful!

Score 9 out of 10
Vetted Review
Verified User
Review Source
  • Very positive impact on report automation
  • Very positive impact on reproduceable code
  • Very positive impact on sharing code with others. The only limit has been colleagues' experience and competence.