TrustRadius Insights for MATLAB are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Business Problems Solved
MATLAB has proven to be an invaluable tool for a wide range of use cases across academia, research, and industry. Users have praised its versatility, ease of use, and extensive capabilities in solving complex problems and handling large amounts of data. From academic homework and research projects to major industry applications, MATLAB has been employed for a variety of purposes.
In the academic realm, MATLAB is commonly used as a teaching instrument, particularly in engineering and mathematical courses. It helps students grasp complex concepts that cannot be easily computed by hand and provides an accessible coding platform with excellent visualization capabilities. MATLAB is also utilized for simulation purposes, allowing engineering students to evaluate complex integrals and summations, as well as undertake signal processing projects.
Researchers frequently rely on MATLAB for data analysis and modeling tasks. Its intuitive interface and programming structures make it an ideal tool for generating graphs and plots for visualization purposes. MATLAB's built-in artificial neural network models have been effectively employed for various studies, including rainfall-runoff modeling, earthquake and wind excitation analysis, and climate data processing.
In industry settings, MATLAB proves its worth by solving complex problems, automating processes, and handling large datasets. It is widely used for prototyping mathematical algorithms in machine learning applications, aiding in product conceptualization through data visualization and mathematical modeling. Additionally, MATLAB finds utility in diverse fields such as power systems simulation, medical research, control systems development, image processing, algorithm prototyping, and automation.
Overall, MATLAB's broad range of applications across academia, research, and industry makes it a valuable asset for individuals and organizations alike. Its adaptable nature enables users to tackle various challenges efficiently while benefiting from its abundant functionalities and user-friendly interface.
Loading Reviews List....
MATLAB Reviews
15 Reviews
Mid-sized Companies (51-1,000 employees)
Search is temporarily unavailable. Filters are still applied.
MATLAB is used within our Data and Analytics team. Since it has a large array of computation library around images and speech, we used it to preprocess images and extract some principal features, also for one project revolving speech modulation we used to test various overlapping frequencies to distort sound. We used an extensive sox library as well its matrix processing capability.
Pros
Rapid prototyping of signal processing applications.
Ease of testing and comes with a good editor and toolset.
Data Analytics and Matrix Processing Capabilities.
Cons
It a is costly utililty.
Software can be made easy and user friendly.
Makes the system slow and takes up lot of resources.
Likelihood to Recommend
It is very easy for programming. A lot of resources and helps available at a click in the software itself. The main advantage is it has many toolboxes for almost every field. The way of importing data is very easy and intuitive. The graph customization is very helpful for research and academics Major drawback is size of the package and it constantly gets bigger every year, also integration is something it lacks like with other libraries.
VU
Verified User
Engineer in Information Technology (501-1000 employees)
I use MATLAB in many of my courses. Currently, I am using it in an advanced math modeling course (to solve systems of differential equations) and in an advanced mathematical software course. The interface is fairly intuitive and the programming structures are easy to understand, making this software an ideal way to teach mathematical programming to students. MATLAB is a package that many of the students will find in their workplaces when they get out in industry.
Pros
Matrix operations
Numerical methods
Plotting
Cons
A bit of a learning curve, especially for those just learning to program
Error messages could be more informative
Likelihood to Recommend
Engineering, mathematical modeling, and machine learning are all fields where MATLAB will shine. It's fast, reliable, and relatively easy to use. MATLAB is the de facto standard when it comes to producing high-quality plots. If you need to deal with large data sets, and not take forever processing them, MATLAB may very well be the tool for you!
We use [MATLAB] for statistical analysis for our finance and accounting team. [MATLAB] can be used for those analysis that can't be done in excel. It helps us to analyze sales for different products and and provide ways to visualize Data.
Pros
Great for statistical analysis
Easy to visualize the code being written into matlab
It's easy to learn and use and has an user friendly library
Written codes are easy to debug
Cons
Needs to be more compatible with different programs
Matlab is slow and crashes a lot
License is expensive
Likelihood to Recommend
[MATLAB] is great for data analysis and for visualizing data but it can be expensive. Learning curve isn't bad but [MATLAB] tends to crash often and can be slow.
VU
Verified User
Manager in Information Technology (201-500 employees)
I'm using MATLAB to support prototyping efforts in machine learning mathematical algorithms. It's great for getting ideas into a system and capable of performing tests on hypotheses. It's good because it does not require a significant, from-scratch, programming implementation--that saves time and effort, requires a lower level of technical expertise, and ultimately leads to a reduced time to market and better overall solutions once the implementation does finally go into a more extensible language like C++.
Pros
Data visualization
Complex mathematics
Multiple options for solving mathematical problems--not just one way to solve each problem.
Cons
Learning the syntax is challenging
Runtime for some mathematical formulations can be very hardware intensive
Interoperability with other programming environments is somewhat limited, specifically when you look at the functionality, it's sometimes hard to integrate
Likelihood to Recommend
MATLAB is great for prototyping and really great for getting speed to market for those that know the software well. The syntax can be a little different for classical programmers, so there is a bit of a learning curve that needs to be overcome. As a machine learning prototyping tool, it's got some nice advantages--does calculus and the necessary algorithms to support ML if you know what functions to call and how to manipulate the data.
MATLAB is used by our organization for handling various major projects. It has been used throughout the organization. It addresses the major problems of development and handling various projects in object detection and the medical field. It also has got major importance in the field of research and development. It is very helpful for students as well as researchers.
Pros
Latest version include support of deep and machine learning.
Various tool box for processing and work in various fields.
Medical image enhancement is one of major use in MATLAB.
Cons
Need improvement in learning module.
The support for previous version is not available for new version users.
The signal processing tool box need major changes.
Likelihood to Recommend
The MATLAB is suited in various fields. It is best suited for the field of research and development. The major problems occur where we need to enhance and detect anything in an image, maybe medical images. MATLAB is also used in simulating various wireless networks with the latest technology.
MATLAB is used by our organization mainly within the firmware and software department, but there are several mechanical engineers who also utilize the program. Some of our disciplines also use MATLAB for manipulation of signals and images. For me, the software is used to make programs and functional GUIs.
Pros
Plotting data
Matrix manipulation
GUIs
Cons
Price. The cost can be prohibitive.
Responsiveness of the software
No autofilling
Likelihood to Recommend
MATLAB is best suited for matrix manipulation. It is a very powerful computational tool used by many different disciplines of engineers, but is very easy to use. You can write a script to work with most hardware.
MATLAB is used across the entire University. There are network licenses that can be used in the many computer labs across campus, and thus can either be used by instructors within their courses or by students working on a project individually. MATLAB is used primarily to teach concepts of control systems, neural networks and to run computer simulations.
Pros
A great high-level abstraction programming language that's very easy to learn yet extremely powerful for more advanced users to take advantage of its computing capabilities.
Top notch documentation that's built directly into the programming environment and very well structured courses/workshops can be found online (free).
Great support team and frequently updated application that's designed to make efficient use of modern Intel processor's available resources.
Diverse types of licensing (students, professional, organizational) allow for flexible plans and can be customized to include the toolboxes you require for your specific use case.
Cons
MATLAB should have a full free version (without time limit) in order to be more accessible and thus have a greater user community.
The idea of having toolboxes to work directly with hardware (microcontrollers, single-board computers) is great, but one can tell it isn't updated very frequently and there isn't as much documentation available as with more common resources.
Our organization had a lot of trouble getting our network licenses to work properly and there wasn't any local service provider that could help us get it to work faster.
Likelihood to Recommend
MATLAB is an outstanding environment for scientific research and engineering teams to develop scripts and simulations and be able to look into new areas of interest without having specialized knowledge of the topic. You can make use of the many available toolboxes in many different fields such as Statistics, Data Science and Databases. You can even compile code that interacts with other programming languages like C++, third-party embedded systems and industrial hardware (PLCs). MATLAB also has a simulation environment that enables you to create visual representations of real systems to interact with them and adjust them before production saving you time and money.
MATLAB is basically used for data analysis in our organization. We deal with many client websites and their sales and we need to analyze the sales of every website and compute data to be sent to a database. I personally used MATLAB in my college days when working on signals and processing and graphs related to my work.
Pros
Matlab is easy to use and one can start using after gaining some knowledge about it.
It is very fast in analyzing and allows one to save data in separate files to work with it again.
Graphs plotted for data are very easy to understand and provide detailed information.
Cons
It is very costly, but after all, it depends on the industry, those who can afford it should use it.
It provides a faster output, but it takes a lot of memory and sometimes slows down the system. I faced this issue, but it depends on one's system configuration.
Likelihood to Recommend
MATLAB is best suited for the electronics industry. Being with an electronics and communication engineering background I can tell that it is very useful for electronics as well as networking organizations who deal in signals and processing all day.
VU
Verified User
Engineer in Information Technology (51-200 employees)
I use MATLAB myself for data analysis. Sometimes it is easier to use the built-in functions rather than creating functions myself in Excel. So it saves me time.
Pros
built-in function libraries, no need to create new functions most of the time
MATLAB has interfaces to Python so I sometimes use specific Python modules to pre-process data sources.
Common data sources are easy to import to MATLAB
Cons
MATLAB is not commonly used in business sense so I do not find many support for business use
software not open-sourced
Likelihood to Recommend
MATLAB is well suited for school and can be suited for business but it needs to allow more business professionals to use so people can get more peer support.
MATLAB allows you to do matrix multiplication, implement algorithms, create user interfaces, read images, etc., which helps in modelling a product. MATLAB solutions for Deep Learning allow users to design, build, and visualize convolutional neural networks. It has various uses like image processing, Variable precision arithmetic, simplification and manipulation of symbolic expression. These features helped us develop our product perfectly.
Pros
The ability to process a variety of data.
Interface, Plot figures for reporting.
Cons
Expensive
Not easy to integrate it with Other softwares.
Likelihood to Recommend
MATLAB is a great software to use, it has many features which can help you creating your product easily. It is best for working with mathematical equations. It is quite easy to understand and start. Plotting analytical graphs and charts helps you for reporting and other things. It has many features which you can get after regularly updating version. You can get your all queries in MATLAB forum and its community is vast.
VU
Verified User
Employee in Information Technology (51-200 employees)
