IBM CPLEX Optimization Studio vs. Posit

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM CPLEX Optimization Studio
Score 9.3 out of 10
N/A
IBM CPLEX Optimization Studio is a mathematical decision optimization application, for building applications or deploying optimization models.
$199
Per User Per Month
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
IBM CPLEX Optimization StudioPosit
Editions & Modules
Developer Subscription
$199.00
Per User Per Month
No answers on this topic
Offerings
Pricing Offerings
IBM CPLEX Optimization StudioPosit
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
IBM CPLEX Optimization StudioPosit
Top Pros

No answers on this topic

Top Cons
Features
IBM CPLEX Optimization StudioPosit
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
IBM CPLEX Optimization Studio
8.0
2 Ratings
6% below category average
Posit
7.3
26 Ratings
15% below category average
Connect to Multiple Data Sources9.02 Ratings8.125 Ratings
Extend Existing Data Sources7.02 Ratings7.526 Ratings
Automatic Data Format Detection8.02 Ratings6.425 Ratings
MDM Integration8.02 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
IBM CPLEX Optimization Studio
10.0
2 Ratings
17% above category average
Posit
8.3
26 Ratings
2% below category average
Visualization10.02 Ratings8.426 Ratings
Interactive Data Analysis10.02 Ratings8.323 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
IBM CPLEX Optimization Studio
7.2
2 Ratings
14% below category average
Posit
8.2
25 Ratings
1% below category average
Interactive Data Cleaning and Enrichment5.01 Ratings8.123 Ratings
Data Transformations7.01 Ratings8.325 Ratings
Data Encryption8.02 Ratings00 Ratings
Built-in Processors9.02 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
IBM CPLEX Optimization Studio
8.0
2 Ratings
6% below category average
Posit
8.2
21 Ratings
4% below category average
Multiple Model Development Languages and Tools10.02 Ratings8.221 Ratings
Automated Machine Learning5.01 Ratings00 Ratings
Single platform for multiple model development8.02 Ratings8.521 Ratings
Self-Service Model Delivery9.01 Ratings8.018 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
IBM CPLEX Optimization Studio
10.0
2 Ratings
15% above category average
Posit
8.6
17 Ratings
0% above category average
Flexible Model Publishing Options10.02 Ratings8.417 Ratings
Security, Governance, and Cost Controls10.02 Ratings8.815 Ratings
Best Alternatives
IBM CPLEX Optimization StudioPosit
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Score 7.8 out of 10
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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
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Score 7.8 out of 10
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All AlternativesView all alternativesView all alternatives
User Ratings
IBM CPLEX Optimization StudioPosit
Likelihood to Recommend
9.0
(2 ratings)
9.0
(122 ratings)
Likelihood to Renew
-
(0 ratings)
9.7
(17 ratings)
Usability
9.0
(1 ratings)
10.0
(3 ratings)
Availability
-
(0 ratings)
9.4
(3 ratings)
Support Rating
7.0
(1 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
IBM CPLEX Optimization StudioPosit
Likelihood to Recommend
IBM
It is well suited for solving large-sized, mixed-integer, and integer programming problems. Now, the new version supports for Multi-Objective optimization along with some new algorithms such as Benders Decomposition. It is less appropriate for quadratic programming problems where the objective function is the product of multiple variables. However, it's very easy to code any problem.
Read full review
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
IBM
  • Linear Programming
  • Mixed-Integer Linear Programming
  • Non-Linear Convex-Optimization
  • Visualization
  • Shadow Price Analysis
  • Parameter Tuning
Read full review
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.
Read full review
Cons
IBM
  • Data handling from different sources like Note Pad, etc.
  • Large size of MILP problems.
  • Various parameters to set.
Read full review
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.
Read full review
Likelihood to Renew
IBM
No answers on this topic
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
IBM
It's nice to use and with good optimization.
Read full review
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
IBM
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
IBM
Honestly, to say, I never contacted CPLEX but used its forum to know/clarify any issues I faced.
Read full review
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
IBM
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.
Read full review
Alternatives Considered
IBM
IBM CPLEX Optimization Studio covers wide range of problems in comparison to Gurobi and also offers a number of visualization tools for results analysis. It has better customization and parameter tuning options in comparison to Gurobi. It offers various API integrations such as Python, Java and C++ which is not the case with Gurobi.
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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
IBM
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
IBM
  • Faster computation leading to better internal customer relations
  • Able to solve high variable problems with ease
  • Anomaly detection became easier within business
Read full review
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).
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.