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Posit

Posit
Formerly RStudio

Overview

What is Posit?

Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.

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Recent Reviews

TrustRadius Insights

Intuitive User Interface: Users have found RStudio to have an intuitive user interface that allows them to quickly test and debug code. …
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All-in with RStudio

10 out of 10
June 30, 2023
Incentivized
RStudio products are used across multiple departments in our organization, including the research, IT, and data science business units. …
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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 (26)
    8.4
    84%
  • Connect to Multiple Data Sources (25)
    8.1
    81%
  • Extend Existing Data Sources (26)
    7.5
    75%
  • Automatic Data Format Detection (25)
    6.4
    64%

Reviewer Pros & Cons

View all pros & cons

Video Reviews

2 videos

RStudio Review: It Proves To Be A Reliable Statistical Tool W/ Support Avenues In Place If Needed
02:53
RStudio Review: Works As An Useful Tool But User Finds Free Version Could Be More Competitive
02:13
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Pricing

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N/A
Unavailable

What is Posit?

Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.

Entry-level set up fee?

  • Setup fee optional
For the latest information on pricing, visithttps://posit.co/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

What is Posit Workbench? Build Data Products in R & Python using Jupyter, VSCode, and RStudio.

YouTube

Posit Connect | Host all of the data products you create

YouTube
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Features

Platform Connectivity

Ability to connect to a wide variety of data sources

7.3
Avg 8.5

Data Exploration

Ability to explore data and develop insights

8.3
Avg 8.4

Data Preparation

Ability to prepare data for analysis

8.2
Avg 8.2

Platform Data Modeling

Building predictive data models

8.2
Avg 8.5

Model Deployment

Tools for deploying models into production

8.6
Avg 8.6
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Product Details

What is Posit?

Posit, formerly RStudio, provides a modular data science platform that combines open-source and commercial products.

their open source offerings, such as the RStudio IDE, Shiny Server, rmarkdown and the many packages in the tidyverse, boast users among data scientists around the world to enhance the production and consumption of knowledge by everyone, regardless of economic means.

Their commercial software products, including Posit Workbench, Posit Connect, and Posit Package Manager, are available as a bundle in Posit 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 Posit 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.

Posit’s open-source software and commercial software form what the vendor describes as a virtuous cycle: The adoption of open-source data science software at scale in organizations creates demand for Posit’s commercial software; and the revenue from commercial software, in turn, enables deeper investment in the open-source software that benefits everyone.

Posit 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, Quarto content, R Markdown reports, Plumber APIs, dashboards, Jupyter Notebooks, and interactive Python content.

Posit Screenshots

Screenshot of Posit runs on most desktops or on a server and accessed over the webScreenshot of Posit supports authoring HTML, PDF, Word Documents, and slide showsScreenshot of Posit 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 Posit Workbench within various systems such as Kubernetes and SLURM with Launcher.Screenshot of Jupyter: Author and edit Python code with Jupyter using the same Posit Workbench infrastructure.Screenshot of Posit Connect enables users to deploy Interactive Python Applications (including Dash, Bokeh and Streamlit), in the same place Shiny apps are shared.

Posit Videos

Open Source Software for Data Science - CEO J.J. Allaire provides an overview of Posit's mission, and why Posit has become a Public Benefits Corporation.

Watch Overview of Posit Connect

Posit Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo

Frequently Asked Questions

Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.

Anaconda, Dataiku, and Cloudera Data Science Workbench are common alternatives for Posit.

Reviewers rate Security, Governance, and Cost Controls highest, with a score of 8.8.

The most common users of Posit are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(237)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Intuitive User Interface: Users have found RStudio to have an intuitive user interface that allows them to quickly test and debug code. This has been mentioned by numerous reviewers, highlighting the ease of use and convenience it offers in coding tasks.

Seamless Integration with Git: The seamless integration of RStudio with Git has been praised by users, making it easy for them to manage version control. Several reviewers have specifically mentioned this as a major advantage of using RStudio for their coding projects.

Powerful Statistical Analysis Tool: Many users appreciate RStudio's capabilities as a powerful tool for statistical analysis and data exploration. They mention its ability to import data from multiple sources, apply machine learning models easily, and export data into various channels.

Confusing and Outdated User Interface: Several users have expressed dissatisfaction with the user interface of RStudio, finding it confusing, unattractive, and outdated compared to other tools. They feel that the interface is too technical for business people.

Frequent Crashes with Large Datasets: Some users have mentioned that RStudio frequently crashes when loading large amounts of data. This can be frustrating and disrupt their workflow.

Lack of Integration with Other Applications: Users have pointed out that RStudio is not as integrated with other applications as Python. This limitation makes it less convenient for users who rely on seamless integration between different software tools.

Users commonly recommend RStudio for beginners in R programming and data analytics. They believe that RStudio is a good tool for learning machine learning and recommend using it for data work, programming R code for machine learning, implementing R software, data analysis, and data science. Users consider RStudio to be a great resource for analyzing data and necessary for anyone who wants to get into R programming. While considering other suites and languages like Python, they still recommend taking a look at RStudio for data analysis. Additionally, users find RStudio to be useful for doing statistics and creating professional plots and figures. They suggest familiarizing oneself with common libraries in the field and doing online tutorials before starting to use RStudio. Users warn about the steep learning curve but believe it is worth investing the time to learn it. Moreover, they recommend using RStudio for big data and epidemiological research.

Attribute Ratings

Reviews

(1-25 of 117)
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June 30, 2023

All-in with RStudio

Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Positive: Quickly making analysis available to end users (in a secure manner). This cannot be emphasized enough. We recently had an issue in production that caused a customers data to be invalid. There was a board report due based on this data, and we were able to rebuild the report and deploy it over the weekend and have the report available to them (in an interactive way).
  • Positive: With the Shiny tool, we are able to receive buy-in from our stake holders much more quickly. In a recent example, we deployed a prototype in Shiny and were able to quickly iterate with that team until it was in its final state. This allowed the development team a tangible application to reproduce in production and to validate against.
  • Positive: Our company has over 35 SAS users, and we have migrated all of our code to R (using RStudio products). With RStudio products, we are recognizing considerable savings in the transition.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • 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
Incentivized
  • 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
Incentivized
  • 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
Incentivized
  • 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
Incentivized
  • 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
Incentivized
  • 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
Incentivized
  • 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
Incentivized
  • 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
Incentivized
  • 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.
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