IBM ILOG CPLEX Optimization Studio (COS) is an enterprise analytical decision support toolkit. It enables rapid development and deployment of decision optimization models using mathematical and constraint programming. COS combines a fully featured integrated development environment (IDE) that supports Optimization Programming Language (OPL) and the high-performance CPLEX and CP Optimizer solvers. COS enables you to optimize your business decisions, develop and deploy optimization models quickly, and create real-world applications that can significantly improve business outcomes.
| Product | Mindshare (%) |
|---|---|
| IBM ILOG CPLEX Optimization Studio | 27.1% |
| Gurobi Optimizer | 35.3% |
| FICO Xpress Optimization | 29.6% |
| Other | 8.0% |
| Type | Title | Date | |
|---|---|---|---|
| Product | Reviews, tips, and advice from real users | Mar 26, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Gurobi Optimizer | 0.0 | 35.3% | 0% | 0 interviewsAdd to research |
| FICO Xpress Optimization | 0.0 | 29.6% | 0% | 0 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 52 |
| Midsize Enterprise | 25 |
| Large Enterprise | 85 |
IBM ILOG CPLEX Optimization Studio was previously known as IBM ILOG CPLEX.
GreenCom Networks, FleetPride, West Point
| Author info | Rating | Review Summary |
|---|---|---|
| Research Assistant | 4.0 | I use CPLEX for linear programming, especially when machine learning fails, appreciating its result visualization. I desire faster performance, more optimization techniques, and non-linear capabilities, recommending it mainly for linear problems. |
| Post Doctorate Research Fellow at a healthcare company with 10,001+ employees | 4.0 | I use CPLEX for mixed integer programming, finding its performance variable but helpful for problem visualization. I desire better speed, user-friendliness, documentation, and insights into why performance varies, though I still recommend it. |
| Assistant Professor | 4.0 | As an optimization professor, I find CPLEX and CP Optimizer perform very well, though I often encounter bugs. I appreciate its extensibility but desire better multi-language engine access and academic pricing. IBM's website and documentation are significant frustrations. |
| Scientist at a tech services company with 10,001+ employees | 5.0 | I use CPLEX for optimization, valuing its speed and Concert library. Stability is good, and setup was easy. I desire better parallelization and occasionally face scalability issues, but I still highly recommend it. |
| Graduate Research Assistant | 4.0 | I find CPLEX excellent for integer programming, offering easy, quick coding and exact optimal solutions. While performance varies with problem size, it's generally good. I would recommend it for similar problems. |
| Graduate Teaching Assistant | 4.5 | I found CPLEX performed well for integer programming, especially complex models, offering great control and stability. While the initial setup and interface layout were confusing, it's the best for advanced tasks. |
| Phd Student at a university with 5,001-10,000 employees | 4.0 | I use CPLEX for optimization research. It's fast and stable, a valuable solver. However, the Python interface isn't intuitive, and error messages can be vague. I wish for a direct GUI, though it handles my everyday problems well. |
| Phd Student at University Of Florida | 4.0 | I found CPLEX easy to code, performing well for my LPN-IP after formulation fixes. It's stable, but I desire nonlinear programming support. I recommend it for general use, as it compares well to other solvers. |
