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TrustRadius
Posit

Posit
Formerly RStudio

Overview

What is Posit?

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

Read more
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)
    7.4
    74%
  • Automatic Data Format Detection (25)
    6.3
    63%

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

8.4
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

8.7
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 9.

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 26)
Companies can't remove reviews or game the system. Here's why
Samrit Pramanik | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
63.33333333333333%
6.3
Connect to Multiple Data Sources
70%
7.0
Extend Existing Data Sources
60%
6.0
Automatic Data Format Detection
60%
6.0
Data Exploration (2)
95%
9.5
Visualization
90%
9.0
Interactive Data Analysis
100%
10.0
Data Preparation (2)
85%
8.5
Interactive Data Cleaning and Enrichment
90%
9.0
Data Transformations
80%
8.0
Platform Data Modeling (2)
80%
8.0
Multiple Model Development Languages and Tools
80%
8.0
Single platform for multiple model development
80%
8.0
Model Deployment (2)
95%
9.5
Flexible Model Publishing Options
90%
9.0
Security, Governance, and Cost Controls
100%
10.0
June 30, 2023

All-in with RStudio

Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
93.33333333333334%
9.3
Connect to Multiple Data Sources
90%
9.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
90%
9.0
Data Exploration (2)
95%
9.5
Visualization
100%
10.0
Interactive Data Analysis
90%
9.0
Data Preparation (2)
100%
10.0
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
100%
10.0
Platform Data Modeling (3)
80%
8.0
Multiple Model Development Languages and Tools
80%
8.0
Single platform for multiple model development
80%
8.0
Self-Service Model Delivery
80%
8.0
Model Deployment (2)
100%
10.0
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
100%
10.0
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
83.33333333333334%
8.3
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
80%
8.0
Automatic Data Format Detection
70%
7.0
Data Exploration (2)
45%
4.5
Visualization
90%
9.0
Interactive Data Analysis
N/A
N/A
Data Preparation (2)
95%
9.5
Interactive Data Cleaning and Enrichment
90%
9.0
Data Transformations
100%
10.0
Platform Data Modeling (3)
N/A
N/A
Multiple Model Development Languages and Tools
N/A
N/A
Single platform for multiple model development
N/A
N/A
Self-Service Model Delivery
N/A
N/A
Model Deployment (2)
N/A
N/A
Flexible Model Publishing Options
N/A
N/A
Security, Governance, and Cost Controls
N/A
N/A
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
56.66666666666667%
5.7
Connect to Multiple Data Sources
70%
7.0
Extend Existing Data Sources
70%
7.0
Automatic Data Format Detection
30%
3.0
Data Exploration (2)
40%
4.0
Visualization
60%
6.0
Interactive Data Analysis
20%
2.0
Data Preparation (2)
40%
4.0
Interactive Data Cleaning and Enrichment
40%
4.0
Data Transformations
40%
4.0
Platform Data Modeling (3)
90%
9.0
Multiple Model Development Languages and Tools
100%
10.0
Single platform for multiple model development
90%
9.0
Self-Service Model Delivery
80%
8.0
Model Deployment (2)
N/A
N/A
Flexible Model Publishing Options
N/A
N/A
Security, Governance, and Cost Controls
N/A
N/A
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
76.66666666666667%
7.7
Connect to Multiple Data Sources
90%
9.0
Extend Existing Data Sources
80%
8.0
Automatic Data Format Detection
60%
6.0
Data Exploration (2)
85%
8.5
Visualization
70%
7.0
Interactive Data Analysis
100%
10.0
Data Preparation (2)
90%
9.0
Interactive Data Cleaning and Enrichment
80%
8.0
Data Transformations
100%
10.0
Platform Data Modeling (3)
50%
5.0
Multiple Model Development Languages and Tools
60%
6.0
Single platform for multiple model development
90%
9.0
Self-Service Model Delivery
N/A
N/A
Model Deployment (2)
N/A
N/A
Flexible Model Publishing Options
N/A
N/A
Security, Governance, and Cost Controls
N/A
N/A
Akshat Garg | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
80%
8.0
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
90%
9.0
Automatic Data Format Detection
70%
7.0
Data Exploration (2)
85%
8.5
Visualization
90%
9.0
Interactive Data Analysis
80%
8.0
Data Preparation (2)
100%
10.0
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
100%
10.0
Platform Data Modeling (3)
83.33333333333334%
8.3
Multiple Model Development Languages and Tools
80%
8.0
Single platform for multiple model development
90%
9.0
Self-Service Model Delivery
80%
8.0
Model Deployment (2)
70%
7.0
Flexible Model Publishing Options
70%
7.0
Security, Governance, and Cost Controls
70%
7.0
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
80%
8.0
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
80%
8.0
Automatic Data Format Detection
80%
8.0
Data Exploration (2)
50%
5.0
Visualization
100%
10.0
Interactive Data Analysis
N/A
N/A
Data Preparation (2)
30%
3.0
Interactive Data Cleaning and Enrichment
N/A
N/A
Data Transformations
60%
6.0
Platform Data Modeling (3)
N/A
N/A
Multiple Model Development Languages and Tools
N/A
N/A
Single platform for multiple model development
N/A
N/A
Self-Service Model Delivery
N/A
N/A
Model Deployment (2)
100%
10.0
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
100%
10.0
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
96.66666666666666%
9.7
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
90%
9.0
Data Exploration (2)
100%
10.0
Visualization
100%
10.0
Interactive Data Analysis
100%
10.0
Data Preparation (2)
90%
9.0
Interactive Data Cleaning and Enrichment
90%
9.0
Data Transformations
90%
9.0
Platform Data Modeling (3)
80%
8.0
Multiple Model Development Languages and Tools
80%
8.0
Single platform for multiple model development
90%
9.0
Self-Service Model Delivery
70%
7.0
Model Deployment (2)
80%
8.0
Flexible Model Publishing Options
90%
9.0
Security, Governance, and Cost Controls
70%
7.0
Andrew Choens | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Platform Connectivity (3)
90%
9.0
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
70%
7.0
Data Exploration (2)
100%
10.0
Visualization
100%
10.0
Interactive Data Analysis
100%
10.0
Data Preparation (1)
100%
10.0
Data Transformations
100%
10.0
Platform Data Modeling (3)
100%
10.0
Multiple Model Development Languages and Tools
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (2)
100%
10.0
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
100%
10.0
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
70%
7.0
Connect to Multiple Data Sources
70%
7.0
Extend Existing Data Sources
70%
7.0
Automatic Data Format Detection
70%
7.0
Data Exploration (2)
80%
8.0
Visualization
80%
8.0
Interactive Data Analysis
80%
8.0
Data Preparation (2)
70%
7.0
Interactive Data Cleaning and Enrichment
60%
6.0
Data Transformations
80%
8.0
Platform Data Modeling (3)
80%
8.0
Multiple Model Development Languages and Tools
80%
8.0
Single platform for multiple model development
80%
8.0
Self-Service Model Delivery
80%
8.0
Model Deployment (2)
65%
6.5
Flexible Model Publishing Options
70%
7.0
Security, Governance, and Cost Controls
60%
6.0
Score 6 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
50%
5.0
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
70%
7.0
Automatic Data Format Detection
N/A
N/A
Data Exploration (2)
45%
4.5
Visualization
90%
9.0
Interactive Data Analysis
N/A
N/A
Data Preparation (2)
90%
9.0
Interactive Data Cleaning and Enrichment
90%
9.0
Data Transformations
90%
9.0
Platform Data Modeling (3)
60%
6.0
Multiple Model Development Languages and Tools
60%
6.0
Single platform for multiple model development
60%
6.0
Self-Service Model Delivery
60%
6.0
Model Deployment (2)
N/A
N/A
Flexible Model Publishing Options
N/A
N/A
Security, Governance, and Cost Controls
N/A
N/A
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
73.33333333333333%
7.3
Connect to Multiple Data Sources
70%
7.0
Extend Existing Data Sources
80%
8.0
Automatic Data Format Detection
70%
7.0
Data Exploration (2)
75%
7.5
Visualization
80%
8.0
Interactive Data Analysis
70%
7.0
Data Preparation (2)
65%
6.5
Interactive Data Cleaning and Enrichment
60%
6.0
Data Transformations
70%
7.0
Platform Data Modeling (3)
76.66666666666667%
7.7
Multiple Model Development Languages and Tools
70%
7.0
Single platform for multiple model development
80%
8.0
Self-Service Model Delivery
80%
8.0
Model Deployment (2)
70%
7.0
Flexible Model Publishing Options
70%
7.0
Security, Governance, and Cost Controls
70%
7.0
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
86.66666666666666%
8.7
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
60%
6.0
Data Exploration (2)
95%
9.5
Visualization
90%
9.0
Interactive Data Analysis
100%
10.0
Data Preparation (2)
100%
10.0
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
100%
10.0
Platform Data Modeling (3)
N/A
N/A
Multiple Model Development Languages and Tools
N/A
N/A
Single platform for multiple model development
N/A
N/A
Self-Service Model Delivery
N/A
N/A
Model Deployment (2)
N/A
N/A
Flexible Model Publishing Options
N/A
N/A
Security, Governance, and Cost Controls
N/A
N/A
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
76.66666666666667%
7.7
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
70%
7.0
Automatic Data Format Detection
80%
8.0
Data Exploration (2)
90%
9.0
Visualization
90%
9.0
Interactive Data Analysis
90%
9.0
Data Preparation (2)
85%
8.5
Interactive Data Cleaning and Enrichment
80%
8.0
Data Transformations
90%
9.0
Platform Data Modeling (3)
76.66666666666667%
7.7
Multiple Model Development Languages and Tools
80%
8.0
Single platform for multiple model development
80%
8.0
Self-Service Model Delivery
70%
7.0
Model Deployment (2)
80%
8.0
Flexible Model Publishing Options
80%
8.0
Security, Governance, and Cost Controls
80%
8.0
Jim Gruman | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
100%
10.0
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
100%
10.0
Data Exploration (2)
100%
10.0
Visualization
100%
10.0
Interactive Data Analysis
100%
10.0
Data Preparation (2)
100%
10.0
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
100%
10.0
Platform Data Modeling (3)
100%
10.0
Multiple Model Development Languages and Tools
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (1)
100%
10.0
Flexible Model Publishing Options
100%
10.0
Suryaprakash Mishra | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
100%
10.0
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
100%
10.0
Data Exploration (2)
100%
10.0
Visualization
100%
10.0
Interactive Data Analysis
100%
10.0
Data Preparation (2)
100%
10.0
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
100%
10.0
Platform Data Modeling (3)
100%
10.0
Multiple Model Development Languages and Tools
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (2)
100%
10.0
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
100%
10.0
Kenton Woods | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (2)
60%
6.0
Extend Existing Data Sources
80%
8.0
Automatic Data Format Detection
40%
4.0
Data Exploration (2)
75%
7.5
Visualization
80%
8.0
Interactive Data Analysis
70%
7.0
Data Preparation (2)
45%
4.5
Interactive Data Cleaning and Enrichment
40%
4.0
Data Transformations
50%
5.0
Platform Data Modeling (3)
76.66666666666667%
7.7
Multiple Model Development Languages and Tools
80%
8.0
Single platform for multiple model development
70%
7.0
Self-Service Model Delivery
80%
8.0
Model Deployment (2)
75%
7.5
Flexible Model Publishing Options
70%
7.0
Security, Governance, and Cost Controls
80%
8.0
Bobbi Woods | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
76.66666666666667%
7.7
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
80%
8.0
Automatic Data Format Detection
70%
7.0
Data Exploration (2)
85%
8.5
Visualization
80%
8.0
Interactive Data Analysis
90%
9.0
Data Preparation (2)
60%
6.0
Interactive Data Cleaning and Enrichment
60%
6.0
Data Transformations
60%
6.0
Platform Data Modeling (3)
76.66666666666667%
7.7
Multiple Model Development Languages and Tools
80%
8.0
Single platform for multiple model development
80%
8.0
Self-Service Model Delivery
70%
7.0
Model Deployment (2)
N/A
N/A
Flexible Model Publishing Options
N/A
N/A
Security, Governance, and Cost Controls
N/A
N/A
January 20, 2022

Hooray RStudio.

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
66.66666666666667%
6.7
Connect to Multiple Data Sources
70%
7.0
Extend Existing Data Sources
50%
5.0
Automatic Data Format Detection
80%
8.0
Data Exploration (2)
90%
9.0
Visualization
90%
9.0
Interactive Data Analysis
90%
9.0
Data Preparation (2)
90%
9.0
Interactive Data Cleaning and Enrichment
90%
9.0
Data Transformations
90%
9.0
Platform Data Modeling (3)
60%
6.0
Multiple Model Development Languages and Tools
70%
7.0
Single platform for multiple model development
70%
7.0
Self-Service Model Delivery
40%
4.0
Model Deployment (2)
75%
7.5
Flexible Model Publishing Options
70%
7.0
Security, Governance, and Cost Controls
80%
8.0
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
93.33333333333334%
9.3
Connect to Multiple Data Sources
90%
9.0
Extend Existing Data Sources
90%
9.0
Automatic Data Format Detection
100%
10.0
Data Exploration (2)
95%
9.5
Visualization
90%
9.0
Interactive Data Analysis
100%
10.0
Data Preparation (2)
85%
8.5
Interactive Data Cleaning and Enrichment
80%
8.0
Data Transformations
90%
9.0
Platform Data Modeling (3)
86.66666666666666%
8.7
Multiple Model Development Languages and Tools
90%
9.0
Single platform for multiple model development
90%
9.0
Self-Service Model Delivery
80%
8.0
Model Deployment (2)
80%
8.0
Flexible Model Publishing Options
80%
8.0
Security, Governance, and Cost Controls
80%
8.0
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
83.33333333333334%
8.3
Connect to Multiple Data Sources
60%
6.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
90%
9.0
Data Exploration (2)
95%
9.5
Visualization
100%
10.0
Interactive Data Analysis
90%
9.0
Data Preparation (2)
85%
8.5
Interactive Data Cleaning and Enrichment
70%
7.0
Data Transformations
100%
10.0
Platform Data Modeling (3)
90%
9.0
Multiple Model Development Languages and Tools
90%
9.0
Single platform for multiple model development
90%
9.0
Self-Service Model Delivery
90%
9.0
Model Deployment (2)
N/A
N/A
Flexible Model Publishing Options
N/A
N/A
Security, Governance, and Cost Controls
N/A
N/A
January 18, 2022

RStudio is wonderful!

Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
96.66666666666666%
9.7
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
90%
9.0
Data Exploration (2)
100%
10.0
Visualization
100%
10.0
Interactive Data Analysis
100%
10.0
Data Preparation (2)
100%
10.0
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
100%
10.0
Platform Data Modeling
N/A
N/A
Model Deployment (1)
90%
9.0
Flexible Model Publishing Options
90%
9.0
Prashast Vaish | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
80%
8.0
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
80%
8.0
Automatic Data Format Detection
80%
8.0
Data Exploration (2)
75%
7.5
Visualization
70%
7.0
Interactive Data Analysis
80%
8.0
Data Preparation (2)
80%
8.0
Interactive Data Cleaning and Enrichment
80%
8.0
Data Transformations
80%
8.0
Platform Data Modeling (3)
80%
8.0
Multiple Model Development Languages and Tools
80%
8.0
Single platform for multiple model development
80%
8.0
Self-Service Model Delivery
80%
8.0
Model Deployment (2)
95%
9.5
Flexible Model Publishing Options
90%
9.0
Security, Governance, and Cost Controls
100%
10.0
Jacob Benzaquen | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
80%
8.0
Connect to Multiple Data Sources
90%
9.0
Extend Existing Data Sources
90%
9.0
Automatic Data Format Detection
60%
6.0
Data Exploration (2)
80%
8.0
Visualization
90%
9.0
Interactive Data Analysis
70%
7.0
Data Preparation (2)
100%
10.0
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
100%
10.0
Platform Data Modeling (3)
96.66666666666666%
9.7
Multiple Model Development Languages and Tools
90%
9.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
100%
10.0
Model Deployment (2)
70%
7.0
Flexible Model Publishing Options
60%
6.0
Security, Governance, and Cost Controls
80%
8.0
Paul Pulley | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Platform Connectivity (3)
50%
5.0
Connect to Multiple Data Sources
50%
5.0
Extend Existing Data Sources
50%
5.0
Automatic Data Format Detection
50%
5.0
Data Exploration (2)
75%
7.5
Visualization
90%
9.0
Interactive Data Analysis
60%
6.0
Data Preparation (2)
75%
7.5
Interactive Data Cleaning and Enrichment
80%
8.0
Data Transformations
70%
7.0
Platform Data Modeling (3)
N/A
N/A
Multiple Model Development Languages and Tools
N/A
N/A
Single platform for multiple model development
N/A
N/A
Self-Service Model Delivery
N/A
N/A
Model Deployment (2)
N/A
N/A
Flexible Model Publishing Options
N/A
N/A
Security, Governance, and Cost Controls
N/A
N/A
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