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IBM CPLEX Optimization Studio

IBM CPLEX Optimization Studio

Overview

What is IBM CPLEX Optimization Studio?

IBM CPLEX Optimization Studio is a mathematical decision optimization application, for building applications or deploying optimization models.

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Recent Reviews
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Reviewer Pros & Cons

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Pricing

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Developer Subscription

$199.00

Cloud
Per User Per Month

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Details

What is IBM CPLEX Optimization Studio?

IBM CPLEX Optimization Studio Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(6)

Attribute Ratings

Reviews

(1-2 of 2)
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Score 9 out of 10
Vetted Review
Verified User
Most used features of this tool are modelling and solving linear and mixed-integer problems with more than 10,000 variables, shadow price analysis and visualization capabilities. Only issue is with non convex optimization capabilities.
  • Linear Programming
  • Mixed-Integer Linear Programming
  • Non-Linear Convex-Optimization
  • Visualization
  • Shadow Price Analysis
  • Parameter Tuning
  • Non-convex Optimization problems
  • In my opinion, difficult to integrate with existing software
  • In my opinion, difficult to use for a new user with no modelling background
  • High memory hardware required for its usage
  • Expensive commercial license
In my opinon, if the problem is less than 5000 variables, one should try to solve with free available solver rather than directly going for a commercial license of IBM CPLEX Optimization Studio. In my opinion, if the priority is not in terms of solving time with higher number of variables, even then one can go for free solvers like CBC, IPOPT, SCIP. In my opinion, if priority is solving time and number of variables is also high, only in that case one should prefer going for a commercial license.
Platform Connectivity (4)
80%
8.0
Connect to Multiple Data Sources
90%
9.0
Extend Existing Data Sources
70%
7.0
Automatic Data Format Detection
80%
8.0
MDM Integration
80%
8.0
Data Exploration (2)
100%
10.0
Visualization
100%
10.0
Interactive Data Analysis
100%
10.0
Data Preparation (2)
85%
8.5
Data Encryption
80%
8.0
Built-in Processors
90%
9.0
Platform Data Modeling (3)
90%
9.0
Multiple Model Development Languages and Tools
100%
10.0
Single platform for multiple model development
80%
8.0
Self-Service Model Delivery
90%
9.0
Model Deployment (2)
100%
10.0
Flexible Model Publishing Options
100%
10.0
Security, Governance, and Cost Controls
100%
10.0
  • Faster computation leading to better internal customer relations
  • Able to solve high variable problems with ease
  • Anomaly detection became easier within business
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.
Gurobi Optimizer, Jupyter Notebook, PyCharm, Microsoft Visual Studio Code, Postman, Apache Spark, Amazon EMR (Elastic MapReduce), Amazon Elastic Compute Cloud (EC2), Amazon S3 (Simple Storage Service)
Score 9 out of 10
Vetted Review
Verified User
Our organization used IBM CPLEX Optimization Studio for solving large optimization problems in research and in demonstrations to students at the graduate level. We have more than 50 licenses for CPLEX and installed for Research and Laboratory Purposes. CPLEX addresses various business problems such as Integer Programming, Mixed Integer Programming, Quadratic Programming, etc.
  • Integer programming.
  • Mixed integer programming.
  • Quadratic programming.
  • Multi-objective optimization.
  • Data handling from different sources like Note Pad, etc.
  • Large size of MILP problems.
  • Various parameters to set.
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.
Platform Connectivity (4)
62.5%
6.3
Connect to Multiple Data Sources
80%
8.0
Extend Existing Data Sources
60%
6.0
Automatic Data Format Detection
60%
6.0
MDM Integration
50%
5.0
Data Exploration (2)
25%
2.5
Visualization
10%
1.0
Interactive Data Analysis
40%
4.0
Data Preparation (4)
52.5%
5.3
Interactive Data Cleaning and Enrichment
50%
5.0
Data Transformations
70%
7.0
Data Encryption
70%
7.0
Built-in Processors
20%
2.0
Platform Data Modeling (3)
56.66666666666667%
5.7
Multiple Model Development Languages and Tools
60%
6.0
Automated Machine Learning
50%
5.0
Single platform for multiple model development
60%
6.0
Model Deployment (2)
80%
8.0
Flexible Model Publishing Options
80%
8.0
Security, Governance, and Cost Controls
80%
8.0
  • Better for price.
  • Many model parameters/features.
  • No visualization.
Compared with MATLAB, CPLEX is a more user-friendly and simpler structure for writing models. This one also has a good return on investment.
Honestly, to say, I never contacted CPLEX but used its forum to know/clarify any issues I faced.
It's nice to use and with good optimization.
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