---
description: ¿Qué piensan los usuarios de MATLAB? Lee las opiniones y opiniones verificadas, descubre sus características y el nivel de usabilidad, consulta los precios y conoce las ventajas y desventajas de MATLAB.
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title: MATLAB - Opiniones, precios y características - Capterra España 2026
---

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# MATLAB

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> Entorno de programación para el desarrollo de algoritmos, análisis de datos, visualización y cómputo numérico.
> 
> Veredicto: 2097 usuarios lo han valorado con **4.6/5**. De los mejores valorados en **Probabilidad de recomendación**.

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## Estadísticas y valoraciones rápidas

| Métrica | Valoración | Detalles |
| **En general** | **4.6/5** | 2097 Opiniones |
| Facilidad de uso | 4.0/5 | Basado en las opiniones generales |
| Asistencia al cliente | 4.2/5 | Basado en las opiniones generales |
| Relación calidad-precio | 4.2/5 | Basado en las opiniones generales |
| Funcionalidades | 4.6/5 | Basado en las opiniones generales |
| Porcentaje de recomendaciones | 80% | (8/10 Probabilidad de recomendación) |

## Sobre el proveedor

- **Empresa**: The MathWorks

## Contexto comercial

- **Precio inicial**: 203,63 US$
- **Modelo de precios**:  (Prueba gratuita)
- **Público objetivo**: Trabajador autónomo, 2-10, 11-50, 51-200, 201-500, 501-1.000, 1.001-5.000, 5.001-10.000, 10.000+
- **Despliegue y plataformas**: Cloud, SaaS, Web, Mac (desktop), Windows (desktop)
- **Idiomas admitidos**: inglés
- **Países disponibles**: Estados Unidos

## Funcionalidades

- API
- Análisis de diseño
- Análisis de la supervivencia
- Análisis de regresión
- Búsqueda/filtro
- Control estadístico de procesos
- Creación de informes y estadísticas
- Creación de informes/análisis
- Descubrimiento de datos
- Dibujo 2D
- Gestión de datos
- Gestión de documentos
- Gestión del diseño
- Herramientas de colaboración
- Herramientas de presentación
- Imágenes en 3D
- Modelado matemático
- Modelado y simulación
- Panel de control personalizable
- Presentación gráfica de datos
- Previsión
- Simulación estadistica
- Time Series Analysis
- Visualización de datos

## Integraciones (en total: 17)

- Azure Cosmos DB
- COMSOL Multiphysics
- EASA
- FEATool Multiphysics
- FICO Xpress Optimization
- Innoslate
- Microsoft Excel
- Microsoft Power BI
- MongoDB
- Neo4j Graph Database
- OnScale Solve
- OpenText Analytics Database
- Simulink
- Spotfire
- Tableau

… y 2 integraciones más

## Opciones de asistencia

- Chat

## Categoría

- [Software de simulación](https://www.capterra.es/directory/30607/simulation/software)

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- [Programas estadísticos](https://www.capterra.es/directory/30752/statistical-analysis/software)
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## Alternativas

1. [SIMUL8](https://www.capterra.es/software/114609/simul8-professional) — 4.6/5 (142 reviews)
2. [AnyLogic](https://www.capterra.es/software/95940/anylogic) — 4.5/5 (518 reviews)
3. [Wolfram Mathematica](https://www.capterra.es/software/171048/wolfram-mathematica) — 4.6/5 (169 reviews)
4. [SimScale](https://www.capterra.es/software/145960/simscale) — 4.5/5 (140 reviews)
5. [Maple](https://www.capterra.es/software/1017763/maple) — 4.8/5 (4 reviews)

## Opiniones

### "The Gold Standard for Advanced Engineering and Scientific Modeling" — 5.0/5

> **Nicolás** | *29 de abril de 2026* | Telecomunicaciones | Valoración de la recomendación: 9.0/10
> 
> **Puntos a favor**: MATLAB is an exceptional tool for advanced data analysis and high-level engineering tasks. Its most impressive feature is the comprehensive ecosystem of specialized toolboxes that allow for sophisticated work in fields like signal processing, deep learning, and image analysis without the need to build complex functions from scratch. For those heavily involved in simulation and modeling, the integration with Simulink provides a seamless visual environment that is significantly more efficient than traditional text-based coding for complex control systems. Furthermore, the documentation provided by MathWorks is incredibly thorough, featuring clear examples and a professional community that makes troubleshooting and learning new features very straightforward.
> 
> **Desventajas**: Despite its technical power, the most significant drawback is the overall value for money, as the licensing fees are quite steep for individual users and small businesses. The cost can escalate quickly when multiple specialized toolboxes are required, which often makes open-source alternatives more attractive for those on a tight budget. Additionally, the software is quite resource-intensive, which can occasionally lead to performance lag when managing heavy dashboard data or complex graphical user interfaces on standard hardware. Because it is a proprietary language, it also poses some challenges for collaboration with researchers or developers who do not have access to a paid license.
> 
> My overall experience with MATLAB has been highly positive, particularly regarding its robust user interface and professional-grade reliability. The software excels at handling large-scale data analysis and providing a stable, integrated environment for mission-critical research and development. While the financial investment is high, the quality of customer support and the significant time saved through its optimized, built-in functions often justify the cost for professional applications. It remains the gold standard for academic and industrial engineering where precision, speed of development, and high-fidelity simulations are the top priorities.

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### "MATLAB: A powerful and versatile tool" — 4.0/5

> **Usuario verificado** | *18 de agosto de 2026* | Aerolíneas/aviación | Valoración de la recomendación: 6.0/10
> 
> **Puntos a favor**: What I appreciate most about the software is its versatility; it is relatively intuitive to use and offers countless toolboxes for various fields. Speaking specifically from my experience with the Optimization Toolbox, I have been thoroughly impressed. The customizable plotting capabilities are another major advantage, providing extensive options. Furthermore, it features a low learning curve thanks to the comprehensive documentation MathWorks provides, both online and directly through the command line via the help command, guiding users step by step. Finally, the integration of the Copilot assistant streamlines code debugging, saving valuable time.
> 
> **Desventajas**: Regarding its drawbacks, the most prominent is its cost. There are open-source alternatives like Python that, while perhaps lacking documentation as structured and accessible as MATLAB's, remain entirely free. I am fortunate to use it thanks to having an academic license previously and a professional one now. However, similar results can certainly be achieved using lower-cost or free software. Lastly, a minor criticism concerns Live Scripts, where response times can lag noticeably when adjusting parameters and updating graphical representations.
> 
> MATLAB is a software package I learned to use during my university studies. Since then, I have applied it across both my academic career and professional work. I developed my bachelor's thesis using this platform and was extremely pleased with the results. Additionally, I have hands-on experience using specific modules, such as the Optimization Toolbox.

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### ""The Gold Standard for Technical Computing and System Simulation"" — 5.0/5

> **Santosh** | *8 de mayo de 2026* | Fabricación de productos eléctricos/electrónicos | Valoración de la recomendación: 9.0/10
> 
> **Puntos a favor**: "As an Electronics professional, I am highly impressed with MATLAB's Signal Processing and Communication Toolboxes. The matrix-based environment is perfect for complex mathematical modeling. Its integration with Simulink allows for seamless hardware-in-the-loop testing, which is critical for my research projects."
> 
> **Desventajas**: The software is extremely resource-intensive and requires a high-performance PC to run smoothly without lag. Additionally, the licensing cost is quite high for independent researchers or small consulting firms."
> 
> "My experience with MATLAB has been transformative for my analytical work. It has streamlined the way I process large datasets and design control systems. Despite the steep learning curve and cost, the precision it offers is unmatched."

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### "Powerful environment for technical analysis and modeling" — 4.0/5

> **Rashad** | *10 de agosto de 2026* | Petróleo y energía | Valoración de la recomendación: 7.0/10
> 
> **Puntos a favor**: MATLAB is very effective for technical calculations, data analysis, visualization, and numerical modeling. It provides a large number of built-in functions and makes it relatively easy to move from data processing to plotting and more advanced analysis within the same environment.
> 
> **Desventajas**: The licensing cost can be relatively high, especially when additional toolboxes are required. Larger scripts can also become difficult to manage if the code is not well structured.
> 
> I have used it for technical analysis, calculations, data processing, visualization, and modeling. It is particularly useful when working with numerical datasets and when results need to be quickly tested, plotted, and refined.

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### "Matlab Losing crown to Python, but I still love it." — 3.0/5

> **Tam** | *24 de enero de 2025* | Telecomunicaciones | Valoración de la recomendación: 7.0/10
> 
> **Puntos a favor**: Easy to use, had a large library for engineer, used to be the language of choice for all EE engineers.
> 
> **Desventajas**: Matlab is closed source, that's how it lost the crown to python.
> 
> I still like Matlab, especially all my old codes are in Matlab, lot of built-in Math functions which makes it convenience.

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