Overview
Recent 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)8.888%
- Connect to Multiple Data Sources (22)8.484%
- Extend Existing Data Sources (23)8.383%
- Automatic Data Format Detection (22)7.575%
Reviewer Pros & Cons
View all pros & consVideo Reviews
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Pricing
View all pricingEntry-level set up fee?
- Setup fee optional
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting / Integration Services
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Alternatives Pricing
Product Demos
Video Reviews
1 video

Features Scorecard
Platform Connectivity
Data Exploration
Data Preparation
Platform Data Modeling
Model Deployment
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
RStudio Videos
RStudio Integrations
- Jupyter Notebook
- Streamlit
- Kubernetes
- Apache Spark
- Databricks Lakehouse Platform (Unified Analytics Platform)
- bokeh
- Slurm
- Dash applications
- VS Code
- SAML Marketplaces
RStudio Competitors
- Anaconda
- Dataiku DSS
- Cloudera Data Science Workbench
- IBM SPSS
- Domino Data Labs
- SAS
- STATA
RStudio Technical Details
Deployment Types | On-premise, SaaS |
---|---|
Operating Systems | Windows, Linux, Mac |
Mobile Application | No |
Frequently Asked Questions
Comparisons
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Reviews and Ratings
Reviews
(1-13 of 13)- Popular Filters
Enhancing Data science capabilities with RStudio
RStudio for R!
This allows minimal friction and overhead for Python users to adopt the platform.
RStudio: Difficult Learning Curve with Matching Pay Off
The R-Studio suite is a well thought out solution to development, control and publishing r apps and services.
RStudio for quick prediction prototyping
RStudio - Dire wolf of "Game of Data Science"
RStudio helps data scientists get things done faster
RStudio is the only IDE you need for R
Well Suited for Data Visualization and Modeling
RStudio is amazing, the future of Data Science
I'm learning slowly on Jupyter Notebooks and ultimately, I'll switch back to RStudio.