RStudio Reviews & Pricing

by RStudio | Founded 2009, Boston, MA

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What is RStudio?

Industry Specialties: Serves all industries

RStudio is an integrated development environment suite for the R programming language, synthesizing coding tools into one software tool for easier advanced data processing. Using in-memory processing, it is capable of parsing big data through integrations and connections.

It is available in both open-source and commercial formats, with extra features available in the paid edition includes more sophisticated collaboration and security efforts. The free version is capable of end-to-end analytics, from API connectivity and data ingestion to visualization creation and distribution. It can be deployed standalone or on a web browser through connection to RStudio Server.

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User Sentiment

Based on 700 reviews:

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RStudio Pricing

Based on our most recent analysis, RStudio pricing starts at $4,975 (Annually).

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Starting From: $4,975
Pricing Model: Annually
Free Trial: Yes, Request for Free

Training Resources

RStudio is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for RStudio:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

RStudio Benefits and Insights

Why use RStudio?

Key differentiators & advantages of RStudio

Open-Source or Commercial: Create visualizations and reports from data analysis scripts with the open-source version. Access more advanced features, including deeper security and support with the paid version.
Streamlined R Programming: Execute code directly from the source editor by integrating the tools being used into one interface. Supports Git and Subversion for more advanced code writing needs.
Advanced Data Analysis: Investigate trends on a big data scale via integrations for distributed processing, data modeling and predictive analysis. Develop deep analytical insights through R, the premier statistics coding language.
Proprietary R Packages: Get sophisticated ready-to-install R packages comparable with machine learning frameworks to ingest, store, analyze and consume data.
Data Visualization: Easily digest analyzed data through out-of-the-box and integrated visualizations and data consumption deployment vessels using Shiny and ggvis. Create interactive dashboards and charts with drill-down capabilities.

Industry Expertise

RStudio Inc. was founded in 2009 with the intent of creating a sustainable, open-source R analytics platform. The community development website has more than 22,000 registered users that span all industries, including medical, retail and insurance.

RStudio Reviews

Average customer reviews & user sentiment summary for RStudio:

700 reviews

90%

of users would recommend this product

Synopsis of User Ratings and Reviews

Based on an aggregate of RStudio reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

Data analysis: Around 96% of users who reviewed data analysis said that the platform had strong machine learning and data analysis capabilities.
Functionality: Approximately 86% of users who mentioned functionality said that the tool had a wide range of powerful features for efficient data visualization and analysis.
Ease of Use: The interface was user-friendly and easily navigable, according to 74% of users who reviewed this feature.
Cost: About 93% of users who mentioned pricing said that the open source version of the platform was a definite plus.

Cons

Performance: The tool used up a lot of memory and slowed down when processing large amounts of data, around 88% of users who mentioned its performance said.
Steep Learning Curve: Approximately 73% of users said that it was challenging to work with the platform without previous knowledge of R and that the syntax was difficult to learn.

Researcher's Summary:

RStudio is a powerful web- and cloud-based BI platform with excellent statistical analysis and data science capabilities. Integrating with cloud computing technologies, the platform has good machine learning capabilities to power data analysis by providing a wide range of features for data recovery, presentation and interpretation. It provides rich built-in visualization libraries with pre-set charts and functions that drastically reduce the need to code. Many users who reviewed its UI said that the interface was user-friendly and easy to navigate, though some users said that it looked dated and could do with an upgrade. Quite a few users who reviewed the platform for data analysis said that it was easy to run statistical and regression tests with minimal coding, and coupled with an open-source server, this platform served their data needs well.

On the flip side, many users who reviewed the tool for performance said that it consumes a lot of memory and lags behind its competitors in speed. Quite a lot of users mentioned that the platform could be buggy at times and was prone to crashes, possibly because some libraries were not optimized for performance with large datasets. Many users found it confusing to access the open-source version, especially since separate versions of the platform work differently with some library packages. Some users complained that the code run, once started, could not be stopped and the stop button on the interface didn’t work. A majority of users who reviewed the learning curve as a feature said that the help section was difficult to understand and previous knowledge of R was required to leverage the tool to its fullest.

In summary, RStudio is a versatile and extensible BI tool powered by machine learning and is capable of insightful statistical data analysis and forecasting capabilities.

Key Features

Source Editor: Develop programs in a single console window by synthesizing and integrating all tools in use. Highlight syntax, define functions and complete code in the console.
Web Applications: Publish applications, dashboards and documents to the web with the internally-developed Shiny Server R package.
Flexdashboard: Develop interactive dashboards with JavaScript visualizations, with support for HTML widgets, with this R package.
Launcher: Launch R and Python processes remotely or submit R scripts to compute clusters like SLURM or Kubernetes.
REST API Creation: Develop web API connections with the plumber R package — with as little as a single line of code.
Spark Integration: Integrate seamlessly with Apache Spark to achieve big data analytics through distributed processing and leverage its machine learning capabilities to run more advanced queries.
RStudio Connect: Publish statistical data analyses in the form of visually impactful visualizations, synthesizing all the aforementioned publishing features into one interface.
Data Modeling and Prediction: Powers predictive and prescriptive analytics via connectivity to TensorFlow. Improves the product’s own data modeling capabilities via Tidymodels R package.

Limitations

Some of the product limitations include:

It does not integrate with languages such as VB or Julia
Packages have to be installed and referenced. It does not feature inbuilt packages
It lacks a block code execution default function
Slows down when processing large data
Requires previous knowledge of R

Suite Support

Before emailing support, check out the resources available on the vendor’s website, including digital courses, tutorials, webinars, videos, documentation and articles, all free to access.

Email: Email [email protected].

Phone: No phone support is available.

Training: As mentioned above, the vendor’s website offers multiple self-paced training resources, how-to documentation and in-person workshops. Because a large portion of the RStudio customer base utilizes its open-source products, a robust community of support exists with a designated forum-style website where users can post queries and answer questions.

Tickets: Submit a support ticket by filling out a form on the vendor’s website. This service is available for paid plans only; response times are from 9 a.m — 5 p.m. Eastern Standard time, Monday through Friday.