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IBM ILOG CPLEX Optimization Studio Reviews

Vendor: IBM

4.3 out of 5

19 reviews
100% willing to recommend

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What is IBM ILOG CPLEX Optimization Studio?

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.

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IBM ILOG CPLEX Optimization Studio is the #3 ranked solution in top Mathematical Optimization Tools. PeerSpot users give IBM ILOG CPLEX Optimization Studio an average rating of 8.6 out of 10. IBM ILOG CPLEX Optimization Studio is most commonly compared to Gurobi Optimizer: IBM ILOG CPLEX Optimization Studio vs Gurobi Optimizer. IBM ILOG CPLEX Optimization Studio is popular among the large enterprise segment, accounting for 61% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a manufacturing company, accounting for 16% of all views.

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IBM ILOG CPLEX Optimization Studio

August 2025

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Featured IBM ILOG CPLEX Optimization Studio reviews

it_user766584

Research Assistant

In future versions, I would like to see them include different kinds of optimization problem techniques. The performance could also be faster. One more thing that I would like to see added is the ability to find out how much time other solvers take. I know that CPLEX is one of the solvers, but it would be very helpful to be able to figure out what I need in order to optimize my quota in the runtime of a particular problem.

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it_user766614

Post Doctorate Research Fellow at a healthcare company with 10,001+ employees

I guess I would like to see it become faster and more user-friendly. I think CPLEX is very flexible for different languages so maybe they can provide more detailed documentation on how to format a model in CPLEX, and how to output the solutions. It could provide some examples, some specific standard examples, which I think would be very helpful for beginners. I would also like to be able to receive feedback on why sometimes a problem gets solved easily and why sometimes it does not. If we had more insights into the problem structures we would know if we need to use the back end for some problems, or if we need to use other software or develop our own algorithms.

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it_user766608

Assistant Professor

What I would love to see is better accessibility of the engine extensions. Currently you can do really low-level stuff, and it's great, but you can only do it in C or C++. Whereas, sometimes the application requires another programming language, like Java or Python, and then you simply can't reach the engine extensions from either the Java or Python interface, and that is really a pity. It would be really nice if you could write your extension in C++ but edit, or use it, through Java. That would be an improvement. But just being able to do everything completely from Java or Python would be a major improvement, and is probably something that CPLEX's competitors already have. So that is something I would really love to see in CPLEX too. I am also involved in the open-source community and CPLEX is, unfortunately, not particularly nice because it is very expensive to buy. And I understand that obviously you need to earn money with CPLEX, so charging corporate members is necessary. But it would be nice if academics and people in the open-source community could also have access to it, or to a limited version of CPLEX.

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IBM ILOG CPLEX Optimization Studio mindshare

As of August 2025, the mindshare of IBM ILOG CPLEX Optimization Studio in the Mathematical Optimization Tools category stands at 25.8%, down from 27.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Mathematical Optimization Tools