---
description: Detaillierte Informationen über MATLAB zu Benutzerfreundlichkeit, Funktionen, Kosten, Vor- und Nachteilen aus verifizierten Nutzer-Erfahrungen. Lies Ratings & Bewertungen und entdecke ähnliche Tools dank Capterra Schweiz.
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title: MATLAB Kosten, Erfahrungen & Bewertungen - Capterra Schweiz 2026
---

Breadcrumb: [Startseite](/) > [Simulationssoftware](/directory/30607/simulation/software) > [MATLAB](/software/125813/matlab)

# MATLAB

Canonical: https://www.capterra.ch/software/125813/matlab

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> Eine Programmier-Umgebung für die Entwicklung von Algorithmen, Datenanalyse, Visualisierung und numerischer Berechnung.
> 
> Bewertung: **4.6/5** von 2097 Nutzern. Top bewertet für **Weiterempfehlungsquote**.

-----

## Kurzstatistiken und Ratings

| Metrik | Bewertung | Detail |
| **Gesamt** | **4.6/5** | 2097 Nutzerbewertungen |
| Bedienkomfort | 4.0/5 | Auf Basis der Gesamtbewertungen |
| Kundenbetreuung | 4.2/5 | Auf Basis der Gesamtbewertungen |
| Preis-Leistungs-Verhältnis | 4.2/5 | Auf Basis der Gesamtbewertungen |
| Funktionen | 4.6/5 | Auf Basis der Gesamtbewertungen |
| Empfehlungsprozentsatz | 80% | (8/10 Weiterempfehlungsquote) |

## Über den Anbieter

- **Unternehmen**: The MathWorks

## Gewerblicher Kontext

- **Startpreis**: $ 203.63
- **Preismodell**:  (Gratis Testen)
- **Zielgruppe**: Selbstständig, 2–10, 11–50, 51–200, 201–500, 501–1'000, 1'001–5'000, 5'001–10'000, 10'000+
- **Bereitstellungen und Plattformen**: Cloud, SaaS, webbasiert, Mac (Desktop), Windows (Desktop)
- **Unterstützte Sprachen**: Englisch, Japanisch, Koreanisch
- **Verfügbare Länder**: Vereinigte Staaten

## Funktionen

- 2D-Zeichnung
- 3D-Imaging
- API
- Anpassbares Dashboard
- Berichterstattung / Analyse
- Berichterstattung und Statistik
- Daten-Identifizierung
- Datenmanagement
- Datenvisualisierung
- Design-Analyse
- Design-Management
- Dokumentenmanagement
- Grafische Präsentation von Daten
- Mathematische Modellierung
- Modellierung & Simulation
- Prognose
- Präsentations-Tools
- Regressionsanalyse
- Statistische Analyse
- Statistische Prozess-Kontrolle
- Statistische Simulation
- Suchen / filtern
- Time Series Analysis
- Werkzeuge zur Zusammenarbeit
- Überlebensanalyse

## Integrationen (17 insgesamt)

- 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

... und 2 weitere Integrationen

## Optionen für Kundensupport

- Chat

## Category

- [Simulationssoftware](https://www.capterra.ch/directory/30607/simulation/software)

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- [Simulationssoftware](https://www.capterra.ch/directory/30607/simulation/software)
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- [Datenvisualisierung Software](https://www.capterra.ch/directory/30696/data-visualization/software)
- [Statistik-Programme](https://www.capterra.ch/directory/30752/statistical-analysis/software)
- [Predictive Analytics Tools](https://www.capterra.ch/directory/30945/predictive-analytics/software)

## Alternativen

1. [SIMUL8](https://www.capterra.ch/software/114609/simul8-professional) — 4.6/5 (142 reviews)
2. [AnyLogic](https://www.capterra.ch/software/95940/anylogic) — 4.5/5 (518 reviews)
3. [Wolfram Mathematica](https://www.capterra.ch/software/171048/wolfram-mathematica) — 4.6/5 (169 reviews)
4. [Visual Components](https://www.capterra.ch/software/188853/visual-components) — 4.4/5 (54 reviews)
5. [SAS Viya](https://www.capterra.ch/software/1043140/sas-viya) — 4.4/5 (12 reviews)

## Nutzerbewertungen

### "Funktion gut, Interface ausbaufähig" — 3.0/5

> **Vitus** | *3. April 2025* | Forschung | Empfehlungsbewertung: 9.0/10
> 
> **Vorteile**: Steuerung funktioniert intiutiv und erlernen der Sprache ist dank kostenloser Onramp Kurse sehr vereinfacht
> 
> **Nachteile**: etwas veraltetes Interface, visuell gibt es in jedem Fall Verbesserungsbedarf

-----

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

> **Nicolás** | *29. April 2026* | Telekommunikation | Empfehlungsbewertung: 9.0/10
> 
> **Vorteile**: 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.
> 
> **Nachteile**: 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.

-----

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

> **Verifizierter Rezensent** | *18. August 2026* | Fluggesellschaften/Luftfahrt | Empfehlungsbewertung: 6.0/10
> 
> **Vorteile**: 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.
> 
> **Nachteile**: 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.

-----

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

> **Tam** | *24. Januar 2025* | Telekommunikation | Empfehlungsbewertung: 7.0/10
> 
> **Vorteile**: Easy to use, had a large library for engineer, used to be the language of choice for all EE engineers.
> 
> **Nachteile**: 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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### "MATLAB for Engineering" — 5.0/5

> **Md** | *17. Juni 2026* | Hochschulbildung | Empfehlungsbewertung: 9.0/10
> 
> **Vorteile**: I have been using it to do my undergraduate and graduate projects and thesis. It is quite easy to generate plot, and it is quite interactive. I have used the Simulink also, there are so many toolboxes. Coding seems quite easy and the language is quite similar to C++.
> 
> **Nachteile**: The power system toolbox has been recently changed. As a result, I had to build new models, the previous blocks in a library does not work and integrate.
> 
> It is quite a good experience with MATLAB. There is option to build app also by simple coding. From beginner to advance level, this is great.

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