RStudio

RStudio

Customer Verified
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 …
Continue reading
Read all reviews

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

View all pros & cons

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

View all pricing
N/A
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

Would you like us to let the vendor know that you want pricing?

4 people want pricing too

Alternatives Pricing

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.

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 Hospital & Health Care industry.

Comparisons

View all alternatives

Reviews

(1-25 of 74)
Companies can't remove reviews or game the system. Here's why
Score 10 out of 10
Vetted Review
Verified User
Review Source
my very personal opinion: regarding validated statistical documentation I trust, SAS is the winner, then Stata however, RStudio is the winner to me when it comes to dedicated Customer Success representatives
Score 10 out of 10
Vetted Review
Verified User
Review Source
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.
Score 8 out of 10
Vetted Review
Verified User
Review Source
I don't really have experience using customer success support from RStudio before. Still, I have used the documentation provided for R Shiny, which I found pretty useful when developing interactive visualization. I felt other tools like Plotly for Python had better documentation, so RStudio could learn from them.
Score 6 out of 10
Vetted Review
Verified User
Review Source
I have not used their online documentation, email support, and Customer Success representatives. There are times I wish I had that support; however, I was not aware that was an option for users. I would have wanted those customer support options to be more visible or communicated while I was learning how to navigate RStudio.
Suryaprakash Mishra | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
Unfortunately, there was no need for me to contact customer support. I have received excellent training from senior colleagues and hands-on experience and shadowing when they were building codebase.
Chris Beeley | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
I mentioned this in my bullet point list of what they do well. RStudio customer support is absolutely first-rate, they have Linux, Python, and R experts and they are extremely professional and helpful. I gather they even escalate problems they can't solve to engineering so a fix or workaround can be built.
September 11, 2021

RStudio for R!

Score 9 out of 10
Vetted Review
Verified User
Review Source
Quick to respond and usually resolves problems within a week.

At times, the support team is willing to go beyond regular service agreements to help customers resolve the issue - e.g., internal code bug - and this not often seen with other vendors.

RStudio team also develops may useful open-source libraries that facilitates problem solving.
Score 10 out of 10
Vetted Review
Verified User
Review Source
There is no customer support available for RStudio. All online documentation is user-based. You can search Cran, Github, Reddit, StackExchange, and more for answers. One of the best sources for learning the program is to look up the type of analysis you are wanting to perform. Many data scientists have written tutorials where you can copy their data and code to learn why each piece was necessary and help you perform your analysis.
Score 8 out of 10
Vetted Review
Verified User
Review Source
The online support documentation was excellent, and we benefitted from direct support from the r-studio technical team to help answer our questions and to ensure that our infrastructure was set up to scale to the users that we expect. We have had a good experience so far so we are hopeful this will continue.
Heramb Gadgil | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
RStudio has the 'Best In Class' customer support. They are empathetic, patient and problem solvers with a TAT of 1-day in almost all the cases. It can be marked as one of the strong points of the organization. The documentations are detailed, organized and comprehensive. Customer Success representatives often schedule a check-in meeting to understand 'What are the road-blockers?' with definitive timelines to address the issues.
B. Mark Ewing | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source
Customer support is a mixed bag. The individuals are polite and reasonably responsive, but every issue we've had reaching out to them as been beyond their ability to easily address it. I believe this is because we were pushing for as close to an enterprise solution as possible, but really they have a departmental solution. When we were first configuring Shiny Server Pro to work with Kerberos integration, their tech support was unable to provide any real support beyond a few bits of documentation.
Ethan Kang, FCAS, CSPA | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
RStudio support is usually very responsive, we usually get a response back within 24 hours. They also have a discourse forum to get answers from not only RStudio employees but the other R users as well.

R questions can also be answered on Stackoverflow which is a great resource to learn and ask about R.
Score 10 out of 10
Vetted Review
Verified User
Review Source
Yes, the customer success representatives are definitely very helpful. They checked in a couple of times per year for license renewal and [gave] a lot of information about progress in the field.

The support team is also responsible, generally can expect a response within 24 hours.