IBM CPLEX Optimization Studio vs. SAP Predictive Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM CPLEX Optimization Studio
ScoreĀ 9.3Ā outĀ ofĀ 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
SAP Predictive Analytics
ScoreĀ 7.0Ā outĀ ofĀ 10
N/A
SAP Predictive Analytics is, as the name would suggest, a statistical analysis and data mining platform that can be deployed with SAP HANA.N/A
Pricing
IBM CPLEX Optimization StudioSAP Predictive Analytics
Editions & Modules
Developer Subscription
$199.00
Per User Per Month
No answers on this topic
Offerings
Pricing Offerings
IBM CPLEX Optimization StudioSAP Predictive Analytics
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Detailsā€”ā€”
More Pricing Information
Community Pulse
IBM CPLEX Optimization StudioSAP Predictive Analytics
Top Pros

No answers on this topic

Top Cons
Features
IBM CPLEX Optimization StudioSAP Predictive Analytics
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
SAP Predictive Analytics
-
Ratings
Connect to Multiple Data Sources9.02 Ratings00 Ratings
Extend Existing Data Sources7.02 Ratings00 Ratings
Automatic Data Format Detection8.02 Ratings00 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
SAP Predictive Analytics
-
Ratings
Visualization10.02 Ratings00 Ratings
Interactive Data Analysis10.02 Ratings00 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
SAP Predictive Analytics
-
Ratings
Interactive Data Cleaning and Enrichment5.01 Ratings00 Ratings
Data Transformations7.01 Ratings00 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
SAP Predictive Analytics
-
Ratings
Multiple Model Development Languages and Tools10.02 Ratings00 Ratings
Automated Machine Learning5.01 Ratings00 Ratings
Single platform for multiple model development8.02 Ratings00 Ratings
Self-Service Model Delivery9.01 Ratings00 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
SAP Predictive Analytics
-
Ratings
Flexible Model Publishing Options10.02 Ratings00 Ratings
Security, Governance, and Cost Controls10.02 Ratings00 Ratings
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ScoreĀ 7.8Ā outĀ ofĀ 10
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ScoreĀ 8.3Ā outĀ ofĀ 10
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User Ratings
IBM CPLEX Optimization StudioSAP Predictive Analytics
Likelihood to Recommend
9.0
(2 ratings)
9.0
(3 ratings)
Usability
9.0
(1 ratings)
6.0
(1 ratings)
Support Rating
7.0
(1 ratings)
7.0
(1 ratings)
User Testimonials
IBM CPLEX Optimization StudioSAP Predictive Analytics
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
SAP
It's a great tool to merge actual data analysis (which Lumira doesn't do that well) with visualization (which Lumira does well) - so it can be seen as Lumira for data analysts. However, a lot of the 'predictive' side is hidden/black box which can be frustrating for those analysts, so you could argue it is too complex for casual users, but too 'black box' for analysts.
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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
SAP
  • It doesn't require you to have a Ph.D. to build models!
  • You can use it to address a very large and wide dataset without worrying about sampling.
  • Automation is in the product DNA. You can prepare your data, ingest it into the "Kernel", then get insights about what was found, decide to publish it and schedule scoring tasks or model refresh in the same product.
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
SAP
  • Working with this software is very simple and enjoyable for me as [an] IT consultant and expert, but it is a bit complicated for novice users.
  • Some big data takes more timeā€Œto load, which I think could be faster
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Usability
IBM
It's nice to use and with good optimization.
Read full review
SAP
the UI is a bit dated and available as a desktop tool mostly.
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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.
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SAP
The documentation provides an explanation about what features are available but not necessarily what's happening behind the scenes. On the other side, the "community" has grown since the acquisition and most questions are properly addressed by SAP folks. Since the "product maintenance" mode announcement was made, there wasn't much new content published except on the Smart Predict side (which is built by the SAP Predictive Analytics team)
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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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SAP
We have typically used Spotfire for data analysis but decided to move to SAP Business Objects due to its innate connection with SAP. I found Lumira to be good for visualizations but it is not meant for data analysis. Therefore, we have introduced Predictive Analytics to see if it can fill that gap. So far, it's been far less intuitive than Spotfire to get started, and as far as I am aware so far, it does not bring many additional capabilities. I do, however, like that it utilizes the Lumira look/feel and integrates very well.
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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
SAP
  • Proper forecasting increases our credibility with partners and customers
  • Forecasting determines the amount of investment in each sector and reduces the cost of additional costs
Read full review
ScreenShots