What I like most is the extensive selection of specialized toolboxes, especially Simscape Electrical and the Control System Toolbox. They make it possible to build high‑fidelity models of solar PV systems, including I‑V curve analysis and MPPT algorithm testing. Doing the same work from scratch in other languages like Python would be extremely time‑consuming. Review collected by and hosted on G2.com.

The software can be extremely resource-intensive, particularly when I’m running complex simulations in Simulink or working with very large datasets. On a standard laptop, this can translate into noticeable lag and long loading times, especially compared with lighter, compiled languages. I also find the user interface can feel cluttered when multiple figure windows and script tabs are open at the same time, which makes it harder to stay organized while working. Review collected by and hosted on G2.com.

We can generate graphs easily and also as it's logic is similar to C it's easy to understand,I am using matlab for studies from last year Review collected by and hosted on G2.com.

It takes so much time to create graphs and some of my friends got errors even though everything was correct Review collected by and hosted on G2.com.

MATLAB is a good tool for model-based design, and matlabsolutions.com is helping me learn it more deeply. This tool is also useful for data analysis, and it has been helpful for improving my understanding overall. Review collected by and hosted on G2.com.

Pricing wise it is little out of reach for developers and students. Review collected by and hosted on G2.com.

It is very user-friendly and offers one of the best UI experiences. It’s easy to learn MATLAB coding, and the syntax is straightforward—it feels like you’re writing code in English. It also has lots of tools to integrate with various software, which helps with both coding and simulation. In my experience, it delivers the best performance among other engineering simulation software, and I use it for almost all of my aerospace projects. I regularly use the MATLAB code editor, Simulink, the MATLAB plotter, and tons of other inbuilt apps to make my work easier. Review collected by and hosted on G2.com.

From a technical point of view, I don’t see any downsides. The only drawback for me is the pricing—it’s a bit expensive for an individual or a student to purchase. Review collected by and hosted on G2.com.

I like its powerful mathematical and visualization tools. It helps me with data analysis and simulations, and makes my work clearer and more

efficient. Review collected by and hosted on G2.com.

The licensing cost is quite high, and the fact that some toolboxes are sold separately can be frustrating. It can also feel slower than some open-source alternatives for certain tasks. Review collected by and hosted on G2.com.

MATLAB has an intuitive syntax and is a user-friendly tool for data analysis, visualization, and computing. It performs well and is efficient for solving technical and mathematical problems, which saves me a lot of time. Review collected by and hosted on G2.com.

High cost and the reliance on paid toolboxes can be a real drawback. It works especially well for research. However, for large-scale software development, it can be less suitable than more general-purpose languages. Review collected by and hosted on G2.com.

MATLAB is very easy to use, especially for mathematical modeling, data analysis, and simulations. The biggest advantage is how quickly you can go from an idea to a working solution without spending too much time on setup. The built-in toolboxes for machine learning, signal processing, image processing, and control systems save a lot of development time. The visualization tools are excellent and make it simple to plot, analyze, and debug data. MATLAB also has strong documentation and examples, which makes learning and implementing new features much faster. Review collected by and hosted on G2.com.

he main downside of MATLAB is the cost. Licensing can be expensive compared to open-source alternatives like Python. Performance can also become an issue for very large-scale applications if the code is not optimized. Integration with some modern development stacks and deployment environments is not as smooth as open ecosystems. While MATLAB is beginner-friendly, advanced customization and building large production systems can feel restrictive compared to general-purpose programming languages. Review collected by and hosted on G2.com.

MATLAB combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. It provides customer support and it's easy to implement. integrate Review collected by and hosted on G2.com.

The only reasons to dislike it are cost and sometimes speed. Review collected by and hosted on G2.com.

I use MATLAB for automotive and systems engineering work and I really appreciate how the accuracy and stability of the simulations give me a lot of confidence in the results. I love how seamlessly everything works together. The combination of scripting, powerful math functions, and Simulink feels incredibly efficient for real engineering tasks. I enjoy being able to build a model, adjust parameters, run simulations and visualize results in the same ecosystem. Switching to MATLAB allowed us to centralize most of our workflows, perform advanced numerical analysis, run system-level simulations in Simulink, and even automate repetitive tasks with scripts. The transition required some initial training, but the benefits were clear. The initial setup was relatively straightforward, and the team could start working productively within a few days. I would definitely recommend MATLAB to a friend or colleague; it's a powerful software with a lot of tools for everything. Review collected by and hosted on G2.com.

If there's anything that could be improved, it's mainly the performance with very large datasets or heavy simulations. The licensing system can also be restrictive, especially when switching devices or needing access outside the workplace. Faster loading times, improved memory management; large matrices and Simulink models can consume huge amounts of RAM. Licensing could be more flexible for individual engineers; it feels expensive, especially when toolboxes are required for very specific tasks. Review collected by and hosted on G2.com.

MATLAB – Review

MATLAB is a powerful software environment that is widely used for research, data analysis, and scientific computing. It is especially valued in academic and engineering settings thanks to its strong mathematical capabilities, intuitive syntax, and extensive library of built-in functions for numerical analysis, modeling, and simulation.

One of MATLAB’s key strengths is how effective it is for data analysis and visualization. It allows users to process large datasets with ease and to create highly customizable plots, making it possible to present complex results in a clear and professional way. The flexibility of its plotting tools also makes it well suited both for exploratory work and for producing publication-quality figures.

Another major advantage is the ability to develop applications directly from MATLAB code. With its integrated development environment and tools such as App Designer, users can build custom interfaces and applications tailored to specific research or engineering needs, turning analytical scripts into practical software solutions.

Overall, MATLAB is an excellent option for research and data analysis, providing a robust and reliable platform that brings together advanced computation, visualization, and application development in a single environment. Review collected by and hosted on G2.com.

Weaknesses of MATLAB

Even with its strong capabilities, MATLAB comes with a few clear drawbacks. One of the most significant is the high cost of licensing, which can be a real barrier for individuals and small companies. Universities and research institutions may benefit from academic agreements that help reduce expenses, but commercial licenses—especially when you add extra toolboxes—can become costly, particularly if multiple users or specialized functionality is needed.

Another frequently cited weakness is how resource-intensive the software can be. MATLAB tends to be demanding in terms of system requirements, often requiring substantial memory and processing power, especially for large datasets or complex simulations. On less powerful machines, this can translate into slower performance, along with longer startup times and longer execution times compared with lighter programming environments.

In short, while MATLAB remains a powerful option for research and data analysis, its licensing costs and system demands are important factors to weigh when considering it alongside alternative solutions. Review collected by and hosted on G2.com.