Posit vs. Q Research Software

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Posit
Score 9.3 out of 10
N/A
Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.N/A
Q Research Software
Score 10.0 out of 10
N/A
Q Research Software, a division of Displayr, offers a predictive analytics application for marketers, designed to be easier to use by automating correct statistical to use, drag-and-drop interface for building models, and the ability to read many types of files (e.g. SPSS data files) and able to output the desired file type for presentation, with graphics.N/A
Pricing
PositQ Research Software
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
PositQ Research Software
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
PositQ Research Software
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
PositQ Research Software
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Posit
7.1
26 Ratings
17% below category average
Q Research Software
-
Ratings
Connect to Multiple Data Sources7.925 Ratings00 Ratings
Extend Existing Data Sources7.226 Ratings00 Ratings
Automatic Data Format Detection6.325 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Posit
8.6
26 Ratings
2% above category average
Q Research Software
-
Ratings
Visualization8.526 Ratings00 Ratings
Interactive Data Analysis8.623 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Posit
8.3
25 Ratings
1% above category average
Q Research Software
-
Ratings
Interactive Data Cleaning and Enrichment8.323 Ratings00 Ratings
Data Transformations8.325 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Posit
8.2
21 Ratings
4% below category average
Q Research Software
-
Ratings
Multiple Model Development Languages and Tools8.121 Ratings00 Ratings
Single platform for multiple model development8.421 Ratings00 Ratings
Self-Service Model Delivery8.018 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Posit
8.9
17 Ratings
4% above category average
Q Research Software
-
Ratings
Flexible Model Publishing Options8.617 Ratings00 Ratings
Security, Governance, and Cost Controls9.215 Ratings00 Ratings
Best Alternatives
PositQ Research Software
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
TapClicks
TapClicks
Score 9.2 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.2 out of 10
TapClicks
TapClicks
Score 9.2 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Alteryx
Alteryx
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
PositQ Research Software
Likelihood to Recommend
9.2
(122 ratings)
10.0
(1 ratings)
Likelihood to Renew
9.7
(17 ratings)
-
(0 ratings)
Usability
10.0
(3 ratings)
-
(0 ratings)
Availability
9.4
(3 ratings)
-
(0 ratings)
Support Rating
8.9
(9 ratings)
-
(0 ratings)
Implementation Rating
9.3
(4 ratings)
-
(0 ratings)
Configurability
10.0
(1 ratings)
-
(0 ratings)
Product Scalability
8.2
(3 ratings)
-
(0 ratings)
User Testimonials
PositQ Research Software
Likelihood to Recommend
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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Displayr
We use Q for quantitative data. If you know what you are doing it can still take a bit of time to manipulate your data into the most suitable format for the software to help you. But it is time well spent because once it's set up, Q makes the analysis a breeze. We use it for producing data tables, word clouds, significance testing, audience segmentation and coding of open-responses.
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Pros
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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Displayr
  • Produces really easy to view tables
  • Automatically applies significance testing to data, helping the user spot trends
  • Create and insert your own variables and filters to help manipulate the data
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Cons
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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Displayr
  • The pricing model is a little restrictive for smaller teams that only really need one license but have to buy a 2nd to help out modest users/users learning the ropes.
  • Learning the basics can take quite a bit of time but they offer plenty of free resources that help you through it step-by-step
  • Too be honest, I don't have too many complaints
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Likelihood to Renew
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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Displayr
No answers on this topic
Usability
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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Displayr
No answers on this topic
Reliability and Availability
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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Displayr
No answers on this topic
Support Rating
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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Displayr
No answers on this topic
Implementation Rating
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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Displayr
No answers on this topic
Alternatives Considered
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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Displayr
We still use Excel in order to use Q, but all the analysis happens in Q. No need to learn formulas or reformat spreadsheets. Q does all the heavy lifting.
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Scalability
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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Displayr
No answers on this topic
Return on Investment
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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Displayr
  • Time saving - not exaggerating when I say we can do at least 10x the amount of analysis than we could without it
  • More thorough insights obtained from our data sets
  • Makes data engaging to other stakeholders
Read full review
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.