IBM ILOG CPLEX Optimization Studio vs. SAS Enterprise Miner

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM ILOG CPLEX Optimization Studio
Score 9.3 out of 10
N/A
IBM® ILOG® CPLEX® Optimization Studio is a prescriptive analytics solution that enables rapid development and deployment of decision optimization models using mathematical and constraint programming.
$199
Per User Per Month
SAS Enterprise Miner
Score 8.2 out of 10
N/A
SAS Enterprise Miner is a data science and statistical modeling solution enabling the creation of predictive and descriptive models on very large data sources across the organization.N/A
Pricing
IBM ILOG CPLEX Optimization StudioSAS Enterprise Miner
Editions & Modules
Developer Subscription
$199.00
Per User Per Month
No answers on this topic
Offerings
Pricing Offerings
IBM ILOG CPLEX Optimization StudioSAS Enterprise Miner
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM ILOG CPLEX Optimization StudioSAS Enterprise Miner
Top Pros

No answers on this topic

Top Cons
Features
IBM ILOG CPLEX Optimization StudioSAS Enterprise Miner
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
IBM ILOG CPLEX Optimization Studio
8.0
2 Ratings
6% below category average
SAS Enterprise Miner
8.8
5 Ratings
4% above category average
Connect to Multiple Data Sources9.02 Ratings8.15 Ratings
Extend Existing Data Sources7.02 Ratings9.05 Ratings
Automatic Data Format Detection8.02 Ratings9.35 Ratings
MDM Integration8.02 Ratings9.03 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
IBM ILOG CPLEX Optimization Studio
10.0
2 Ratings
17% above category average
SAS Enterprise Miner
8.1
5 Ratings
4% below category average
Visualization10.02 Ratings7.15 Ratings
Interactive Data Analysis10.02 Ratings9.25 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
IBM ILOG CPLEX Optimization Studio
7.3
2 Ratings
12% below category average
SAS Enterprise Miner
8.0
5 Ratings
3% below category average
Interactive Data Cleaning and Enrichment5.01 Ratings7.85 Ratings
Data Transformations7.01 Ratings8.25 Ratings
Data Encryption8.02 Ratings8.13 Ratings
Built-in Processors9.02 Ratings8.13 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
IBM ILOG CPLEX Optimization Studio
8.0
2 Ratings
6% below category average
SAS Enterprise Miner
8.8
5 Ratings
3% above category average
Multiple Model Development Languages and Tools10.02 Ratings7.55 Ratings
Automated Machine Learning5.01 Ratings9.93 Ratings
Single platform for multiple model development8.02 Ratings8.65 Ratings
Self-Service Model Delivery9.01 Ratings9.24 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
IBM ILOG CPLEX Optimization Studio
10.0
2 Ratings
15% above category average
SAS Enterprise Miner
7.8
5 Ratings
9% below category average
Flexible Model Publishing Options10.02 Ratings7.05 Ratings
Security, Governance, and Cost Controls10.02 Ratings8.55 Ratings
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User Ratings
IBM ILOG CPLEX Optimization StudioSAS Enterprise Miner
Likelihood to Recommend
9.0
(2 ratings)
9.9
(5 ratings)
Usability
9.0
(1 ratings)
-
(0 ratings)
Support Rating
7.0
(1 ratings)
10.0
(2 ratings)
User Testimonials
IBM ILOG CPLEX Optimization StudioSAS Enterprise Miner
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.
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SAS
SAS Enterprise Miner is world-class software for individuals interested in developing reproducible models in a reasonable amount of time. Perhaps the most useful part of SAS Enterprise Miner is the ability to compare models with other models without writing code. The ensemble modeling capabilities is the easiest way to do ensemble modeling I have come across. SAS Enterprise Miner is well-suited for beginning to advanced analysts who know something about advanced analytics. The software is not well-suited for analysts or companies that have little interest in advanced modeling.
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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
SAS
  • Enterprise Miner is really visual and lets you do a whole lot without actually going into the detailed options. For decent results, you should really explore the different advanced options though.
  • The recent versions of Miner allow users to use R code in Miner. You can then compare several models and approach to get the best performing model.
  • The resulting data is really well displayed and easy to understand (ex: the lift graph, score ranking, etc.)
  • Miner has the ability to integrate custom SAS code which allows the user to add functionalities that are specific to the project.
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Cons
IBM
  • Data handling from different sources like Note Pad, etc.
  • Large size of MILP problems.
  • Various parameters to set.
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SAS
  • With large data sets, SAS Enterprise Miner sometimes takes a long time to run. Sometimes you have to just leave your computer running while Enterprise Miner does its thing.
  • If you want complete control over the modeling framework, you have to take what Enterprise Miner does and customize it. SAS seems to be working hard on making things easier to customize, but it's not completely there yet.
  • The graphic capabilities of SAS Enterprise Miner leave a lot to be desired, especially in the era of self-service business intelligence software.
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Usability
IBM
It's nice to use and with good optimization.
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SAS
No answers on this topic
Support Rating
IBM
Honestly, to say, I never contacted CPLEX but used its forum to know/clarify any issues I faced.
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SAS
I have contacted SAS twice in the past year and they have been super responsive both times. They solved my problem. I am also registered for an in-person class next month and they called today to tell me that it will be an online-only session. They apologized for the change and registered me for the online version. Super helpful!
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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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SAS
SAS EM has a very great set of machine learning and predictive analytics toolsets, which helped our organization achieve its goals. We used other tools, but for us, SAS EM was the most intuitive and easy to learn the tool and it provides greater data exploration and data preparation capabilities compared to the other tools we used.
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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
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SAS
  • SAS Enterprise Miner is a positive ROI in the sense that it saves a ton of time coding.
  • SAS Enterprise Miner is a negative ROI in that it's expensive, and perhaps makes analysts brainless.
Read full review
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