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MATLAB

MATLAB

Overview

What is MATLAB?

MatLab is a predictive analytics and computing platform based on a proprietary programming language. MatLab is used across industry and academia.

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Recent Reviews

TrustRadius Insights

MATLAB has proven to be an invaluable tool for a wide range of use cases across academia, research, and industry. Users have praised its …
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Awards

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Pricing

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Student

$49

On Premise
per student license

Student

$49

On Premise
per student suite license

Home

$149

On Premise
perpetual license

Entry-level set up fee?

  • No setup fee

Offerings

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

Matlab Filtering Demo Part 1

YouTube

Digital image processing: p038 - Hough Transform with Matlab Demo

YouTube

3D Volumetric Image Processing Demo - MATLAB Video

YouTube

MATLAB Profiler Demo

YouTube

(SSP 1.1.6) Principle of Maximum Likelihood Estimation: Matlab Demo

YouTube

Lecture 02 Part 5: Finite Difference for Heat Equation Matlab Demo, 2016 Numerical Methods for PDE

YouTube
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Product Details

What is MATLAB?

MATLAB Video

MATLAB Introduction

MATLAB Technical Details

Deployment TypesOn-premise
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo

Frequently Asked Questions

MatLab is a predictive analytics and computing platform based on a proprietary programming language. MatLab is used across industry and academia.

Reviewers rate Usability highest, with a score of 9.9.

The most common users of MATLAB are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(223)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

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.

Users highly recommend using MATLAB for its versatility and ease of use, especially for tasks in biomedicine, academia, and image processing. They also suggest utilizing MATLAB for modeling and analyzing big data, as well as solving problems that heavily rely on numerical computations.

Users find the license price for MATLAB worth it due to its wide adoption and extensive usage in most companies. They advise starting with simple problems and exploring the detailed documentation available in MATLAB's help menu. Users also recommend working with Mathworks to identify required packages and obtain a realistic price quote.

To optimize code in MATLAB, users suggest receiving proper training and taking advantage of online tutorials and user forums. They recommend searching for pre-defined functions online to streamline code implementation. For an easier learning experience, users suggest using MATLAB on the Windows operating system.

Users find MATLAB suitable for mathematical and computationally intensive tasks, making it the backbone software for engineering students. They recommend keeping the documentation handy while learning MATLAB and suggest considering the frequency of use before purchasing the software.

Furthermore, users highly recommend MATLAB for mathematical computational programming and simulations, as well as computation and simulation tasks in general. They suggest seeking help or referring to tutorials to learn MATLAB effectively. Users also recommend getting a review book to grasp the basics of MATLAB.

Lastly, users believe that MATLAB is an essential tool for business success and a great platform for calculus, problem-solving, and multitasking. They suggest taking a course or introduction to make the most out of MATLAB's capabilities. Users view MATLAB as a versatile software that can be used in any field, especially in engineering.

Despite acknowledging the significant upfront and ongoing cost of MATLAB, users highly recommend it due to its well-designed, well-supported, fast, and robust nature.

Attribute Ratings

Reviews

(1-25 of 46)
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Saransh Dikshit | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
I have not used any other products like MATLAB. I have used this software for almost ten years now and it hasnt let me down. I want to learn new open source coding platforms but for now MATLAB serves all my needs and purposes.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Those are expensive than MATLAB and their GUI is not great along with editor. However, they have more libraries set as compared to Matlab. However, the place where MATLAB adds value is its user community as well as its support and we can find solutions to any problem with regards to it.
Morteza Banagar | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Apart from Matlab, I used Matematica for some of my integral evaluations. Mathematica is also a "clean" and easy-to-use software that solves symbolic math problems (even better than Matlab for symbolic math). I also used Anaconda and Spyder for my career so far.
Tyler Grudowski | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
MATLAB is easier to use than a program like LabVIEW. What LabVIEW lacks in simplicity, however; it makes up for in functionality. There are many programs that can do a lot more than MATLAB can. That being said, if you are looking for the easiest and most convenient way to gather, sort, and display data, MATLAB is the way to go.
Ryan McGarry | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
MATLAB's neurophysiological data pre-processing third-party packages are more scientifically validated compared to support for other software platforms. It also allows for writing code with a greater level of functionality and more capabilities than R-Studio, which is instead more geared towards direct statistical analysis. Anaconda is more capable than R-Studio and is seeing growing support for third-party packages.
April 26, 2021

MATLAB, The Great

Alejandro Daniel Copati | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Kinetis Desing Studio, XCode, Simulink and CodeWarriors
I selected MATLAB against the other programs because it has a very powerful console and a very simple way to program functions and scripts, instead of having to make a whole project and loose a lot of time performing things that MATLAB make ir for you.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
The commands and coding language of MATLAB reads a lot more in plain English as opposed to all the periods and other special characters that are needed when typing in Python or Java. Additionally MATLAB has several different function packages that can solve all different categories of problems so you don't have to make a bunch of different code scrips from scratch.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Have used Python, Java, and R as free open source tools, but because MATLAB is available for students to use it is recommended they use this over R. This tool seems to be simpler to use and there is a wide range of tool and help materials for new concepts.
Jatin Gupta | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
MATLAB provides a variety of options for development. The other tools or I can say simulators do not provide major functionalities as provided by MATLAB as it is used in many fields. This is one tool which is used for research and development purpose. It gains popularity with researchers due to widespread applications.
Shelby Bowden | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
MATLAB is much better at performing statistical analysis processes. It is a much more powerful program for dealing with large amounts of, or complicated, data sets. While other programs have a more friendly user interface, MATLAB is good if you have some experience with coding, and is manageable if you do not.
Jevgenijs Steinbuks | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
MATLAB has a more simple and user friendly syntax compared to its main competitors, and is perfect for solving small models, but it limits on parallelization and weak handling of nonlinear problems make it an obsolete tool for many serious economic applications.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
GNU Octave is a widely used alternative to MATLAB which is free. I use MATLAB because I've been using it since I learned how to use it in my undergraduate. Furthermore, paid applications offer more support and oftentimes, more updates than open source software.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
While not as fully featured as other software suites. MATLAB benefits from a short learning curve while still allowing teams to build robust algorithms in short amounts of time.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
For complex calculations, go with MATLAB; I can't even think of how it could be done in Tableau. But if one is not familiar with scripting and only wants to visualize data with minimal wrangling, Tableau will work just fine and comes back with graphics comparable or even better quality than MATLAB.
Abdullah Umair Bajwa | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User
Incentivized
MatLab is better than Phython in terms of robustness of its tools, help library, online community, library of tools, ease of programming (simpler and more intuitive syntax), ease of installation and after sale service. These are really significant advantages and they are the reason why I still use MatLab. Having said that, MatLab has significant disadvantages compared to Python in terms of efficiency of running iterative scripts and its price.
Juan Carlos Molina Castejón | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
How MATLAB compares to its competition or similar open access tools like R (programming language) or SciLab is that it's simply more powerful and capable. It embraces a wider spectrum of possibilities for far more fields than any other environment. R, for example, is intended primarily for the area of statistical computing. SciLab, on the other hand, is a similar open access tool that falls very short in its computing capabilities. It's much slower when running larger scripts and isn't documented or supported nearly as well as MATLAB.
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