Microsoft R Open / Revolution R Enterprise vs. Posit

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Microsoft R Open / Revolution R Enterprise
Score 8.9 out of 10
N/A
Microsoft R Open and Revolution R Enterprise are big data R distribution for servers, Hadoop clusters, and data warehouses. Microsoft acquired original developer Revolution Analytics in 2016. Microsoft R is available in two editions: Microsoft R Open (formerly Revolution R Open) and Revolution R Enterprise.N/A
Posit
Score 9.1 out of 10
N/A
Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.N/A
Pricing
Microsoft R Open / Revolution R EnterprisePosit
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Microsoft R Open / Revolution R EnterprisePosit
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Microsoft R Open / Revolution R EnterprisePosit
Top Pros
Top Cons
Features
Microsoft R Open / Revolution R EnterprisePosit
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
5.3
3 Ratings
46% below category average
Posit
7.3
26 Ratings
15% below category average
Connect to Multiple Data Sources6.13 Ratings8.125 Ratings
Extend Existing Data Sources6.03 Ratings7.526 Ratings
Automatic Data Format Detection6.03 Ratings6.425 Ratings
MDM Integration3.01 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
7.0
3 Ratings
19% below category average
Posit
8.3
26 Ratings
2% below category average
Visualization7.03 Ratings8.426 Ratings
Interactive Data Analysis7.03 Ratings8.323 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
4.8
3 Ratings
53% below category average
Posit
8.2
25 Ratings
1% below category average
Interactive Data Cleaning and Enrichment5.13 Ratings8.123 Ratings
Data Transformations5.03 Ratings8.325 Ratings
Data Encryption3.01 Ratings00 Ratings
Built-in Processors6.03 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
6.0
3 Ratings
34% below category average
Posit
8.2
21 Ratings
4% below category average
Multiple Model Development Languages and Tools5.03 Ratings8.221 Ratings
Automated Machine Learning5.02 Ratings00 Ratings
Single platform for multiple model development8.03 Ratings8.521 Ratings
Self-Service Model Delivery6.03 Ratings8.018 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
6.5
2 Ratings
27% below category average
Posit
8.6
17 Ratings
0% above category average
Flexible Model Publishing Options6.02 Ratings8.417 Ratings
Security, Governance, and Cost Controls6.92 Ratings8.815 Ratings
Best Alternatives
Microsoft R Open / Revolution R EnterprisePosit
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.3 out of 10
Mathematica
Mathematica
Score 8.3 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Microsoft R Open / Revolution R EnterprisePosit
Likelihood to Recommend
6.0
(5 ratings)
9.0
(122 ratings)
Likelihood to Renew
7.0
(1 ratings)
9.7
(17 ratings)
Usability
7.0
(1 ratings)
10.0
(3 ratings)
Availability
-
(0 ratings)
9.4
(3 ratings)
Support Rating
8.0
(2 ratings)
8.9
(9 ratings)
Implementation Rating
-
(0 ratings)
9.3
(4 ratings)
Configurability
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
8.2
(3 ratings)
User Testimonials
Microsoft R Open / Revolution R EnterprisePosit
Likelihood to Recommend
Microsoft
If you are a MS shop specifically, or have more generic data requirement needs from Microsoft sourced data this will work well. If you have a lot of disparate data across a number of unique platforms/cloud systems/3rd party hosted data warehouses then this product will have issues or a lack of documentation on the net. Performance-wise this product is equal to other R platforms out there.
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Posit (formerly RStudio)
In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition. A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.
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Pros
Microsoft
  • It allows distributed algorithm runs on Hadoop HDFS cluster
  • It allows using different file formats such as SAS7BAT files or complex files in tab or comma delimited making data munging easier
  • It provides scalable solutions by allowing users to re-use R scripts and distributing the computing over nodes through RHadoop
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Posit (formerly RStudio)
  • The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
  • The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
  • Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.
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Cons
Microsoft
  • Very steep learning curve... for such a quick and useful tool the learning curve is unacceptable.
  • Very dangerous in the wrong hands. Because most add-ons are pre-written, you have to trust the community that malicious script is not used.
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Posit (formerly RStudio)
  • Python integration is newer and still can be rough, especially with when using virtual environments.
  • RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
  • Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.
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Likelihood to Renew
Microsoft
In general, Revolution Analytics brings a lot of value to the organization. The renewal decision would be based on return on investment in terms of quantified actionable insights that are getting generated against the cost of the product. Additionally, market brand of the tool and reputation risk in terms of possible acquisition and its impact to overall organizational analytic strategy would be considered as well.
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Posit (formerly RStudio)
There is no viable alternative right now. The toolset is good and the functionality is increasing with every release. It is backed by regular releases and ongoing development by the RStudio team. There is good engagement with RStudio directly when support is required. Also there's a strong and growing community of developers who provide additional support and sample code.
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Usability
Microsoft
It is good, easy to use, improvements are being made to the product and more info being shared in the community. It just needs some more time to become more integrated to other platforms and tools/data out there.
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Posit (formerly RStudio)
I think it's a quick and easy to use tool. The IDE is very intuitive and easy to adapt to. You do not need to learn a lot of things to use this tool. Any programmer and a person with knowledge or R can quick use this tool without issues.
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Reliability and Availability
Microsoft
No answers on this topic
Posit (formerly RStudio)
RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses
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Support Rating
Microsoft
Generally support comes through the forums and user generated channels which are helpful, easy to access, quickly turned around and provided by knowledgeable users. However the support channels are not employees and the channels are often used as a way to learn quick difficult elements of R. Better design, users interface and tutorial options would alleviate the need for this sort of interaction.
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Posit (formerly RStudio)
Since R is trendy among statisticians, you can find lots of help from the data science/ stats communities. If you need help with anything related to RStudio or R, google it or search on StackOverflow, you might easily find the solution that you are looking for.
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Implementation Rating
Microsoft
No answers on this topic
Posit (formerly RStudio)
We did it at the individual level: anyone willing to code in R can use it. No real deployment involved.
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Alternatives Considered
Microsoft
The two are different products for different purposes. But for someone who has little or no experience in R programming, Power BI would be better for starting with. Having said that, Microsoft R is built on R, thus allowing for customization of complex calculations not typically available otherwise.
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Posit (formerly RStudio)
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.
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Scalability
Microsoft
No answers on this topic
Posit (formerly RStudio)
RStudio is very scalable as a product. The issue I have is that it doesn't necessarily fit in nicely with the mainly Microsoft environment that everybody else is using. Having RStudio for us means dedicated servers and recruiting staff who know how to manage the environment. This isn't a fault of the product at all, it's just part of the data science landscape that we all have to put up with. Having said that RStudio is absolutely great for running on low spec servers and there are loads of options to handle concurrency, memory use, etc.
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Return on Investment
Microsoft
  • Helped save company money versus buying other stat software
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Posit (formerly RStudio)
  • Using it for data science in a very big and old company, the most positive impact, from my point of view, has been the ability of spreading data culture across the group. Shortening the path from data to value.
  • Still it's hard to quantify economic benefits, we are struggling and it's a great point of attention, since splitting out the contribution of the single aspects of a project (and getting the RStudio pie) is complicated.
  • What is sure is that, in the long run, RStudio is boosting productivity and making the process in which is embedded more efficient (cost reduction).
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ScreenShots

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.