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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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 Research industry.

Comparisons

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Reviews

(1-25 of 104)
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Score 9 out of 10
Vetted Review
Verified User
Review Source
RStudio is better than python for visualizations but it is less common to use it in many organizations. Excel and PowerBI are better for visualization but, they can only be used for simple models. I would choose R Studio for statistical analysis, ML, or DL because the language is designed for this kind of analysis. Also, R Studio is the best for data gathering.
Score 10 out of 10
Vetted Review
Verified User
Review Source
inter-departmental collaboration - my first choice would be TIBCO Spotfire natural language processing and knowledge graphs - my first choice would be Python information security & visualizations (including d3.js libraries) - my first choice is RStudio
Score 8 out of 10
Vetted Review
Verified User
Review Source
RStudio stacks up pretty well against its competition. For me, it is really up to personal preference and what you are used to when deciding between the competitions. I like that Python packages have the most external resources, so it's easier to troubleshoot. But RStudio does have some advantages when it comes to optimized outputs for statistics.
Score 6 out of 10
Vetted Review
Verified User
Review Source
The most similar products to RStudio that I have used include IBM SPSS and Tableau Prep. In my experience, SPSS is more intuitive and has less of a learning curve; I used it extensively in my undergraduate career in Statistics and Cognitive Science research. While RStudio has more of a learning curve, I'd say that I am more rewarded by learning how to use it. It is valuable and easily applicable in my industry, which is why I would recommend it over SPSS and Tableau Prep for data cleaning. However, if your goal is information visualization, I'd recommend Tableau Prep.
Score 8 out of 10
Vetted Review
Verified User
Review Source
RStudio stacks up pretty well against Anaconda. However, Anaconda might be the first choice for someone who likes Python for their analytics and machine learning needs. In the past, I have found it seamless to connect Jupyter Notebook (in Anaconda suite) to integrate with other services such as Google Docs, while I'm not sure how to proceed with that in RStudio.
Score 8 out of 10
Vetted Review
Verified User
Review Source
RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.
Kunal Sonalkar | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Statistics is very simple to use in RStudio and not in Tableau.
  • Tableau is very expensive and RStudio is open source.
  • Geo Coding in R is much better than Tableau.
  • Tableau is better in data visualization and easy to use and much more interactive.( as it is more of a drag and drop tool).
Chris Beeley | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
There are loads of people in the BI (Business Intelligence) space, of course... but I wouldn't touch any of them because none of them offer anything like the R and Python support that RStudio does. RStudio publishes open-source, they're a public benefit corporation, and they rock. RStudio also beats all other platforms (to the best of my awareness) on price.
Kenton Woods | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
I prefer SPSS to RStudio, but RStudio is very cheap in comparison to the cost of SPSS. IBM's SPSS does a better job holding the hands of users, but it does come at a very expensive license cost. RStudio is a little bit more difficult to use but is cheap.
Bobbi Woods | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
Personally, I would prefer SPSS over RStudio and SAS, but the cost for licenses for SPSS deters me from continuing to go with IBM's statistics software. RStudio has the advantage in that it is low cost and there are a lot of available resources on YouTube available for users to pull from.
Score 9 out of 10
Vetted Review
Verified User
Review Source
Using [RStudio] requires greater knowledge of statistics and code than SPSS, which has a more simple "point and click" interface. [RStudio] is similar to SAS in its user interface and [requires] the user to write their own queries. [RStudio]'s main advantage is an open-source tool [that] is frequently updated. SAS is better when working with large datasets, and SPSS has better data imaging. [RStudio] is the most compatible with python code in my opinion, and is better for collaboration.
January 18, 2022

RStudio is wonderful!

Score 9 out of 10
Vetted Review
Verified User
Review Source
RStudio is free and so that is the main reason that I use it. I like that it is open source and so there are lots of support on the internet. I tried SAS JMP and Python in a text editor but RStudio was better than either of those options for cost and code flexibility respectively.
Prashast Vaish | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
RStudio is as good as any software available in the market and is better off than some as it is free. Since it is open source it is improving day by day. I would prefer RStudio over any other tool any day. I would recommend every data analyst to give RStudio a try.
September 11, 2021

RStudio for R!

Score 9 out of 10
Vetted Review
Verified User
Review Source
For R and Python users, it’s one of the best tool available for developing, testing and deploying products.

Cost-wise, it's a bigger bang for the buck than other platforms that were evaluated.

The support team is responsive and always willing to go beyond regular service agreements when needed.

The initial setup is straightforward with helpful documentation even for a beginner like me.

Score 10 out of 10
Vetted Review
Verified User
Review Source
When comparing RStudio to automated platforms like Obviously or STATA, the trade-off is personal development versus consistency and immediate gratification. As someone who got into Analytics more recently and learned everything on the job, RStudio was a fantastic tool. While challenging, it forced me to learn all the statistical languages, how the program worked, and evaluate the actual model versus being given one. This difference was key for my growth. However, when working with a team of users or for a group that is running a significant amount of models, writing custom code becomes laborious and inefficient and teams may want to go with those instead.
Score 8 out of 10
Vetted Review
Verified User
Review Source
PBI is a similar product in many respects that it targets more of the technical business user rather than traditional developer.

However, PBI itself is a great visualisation tool but has limited scripting and forms functionality. It would make sense to pair PBI with PowerApps, or other products in the Power Platform, but r-studio is more like PBI and PowerApps combined.
Score 9 out of 10
Vetted Review
Verified User
Review Source
I have used Jupyter notebooks. I have used the cloud version of RStudio extensively. I program mainly in R as we have some libraries on Microstrategy which are in R. So, R was a natural choice for prototyping. I also use Jupiter Notebook for python programming. But, I use this less often than R.