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

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# Altair AI Studio

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> Mezcla fácilmente los datos, crea modelos predictivos y pon en práctica el análisis predictivo en cualquier proceso comercial.
> 
> Veredicto: 23 usuarios lo han valorado con **4.4/5**. De los mejores valorados en **Probabilidad de recomendación**.

-----

## Vista rápida

### ¿Quién usa Altair AI Studio?

Organizaciones que buscan aprovechar la ciencia de datos, el aprendizaje automático y la IA.

## Estadísticas y valoraciones rápidas

| Métrica | Valoración | Detalles |
| **En general** | **4.4/5** | 23 Opiniones |
| Facilidad de uso | 4.3/5 | Basado en las opiniones generales |
| Asistencia al cliente | 4.5/5 | Basado en las opiniones generales |
| Relación calidad-precio | 4.0/5 | Basado en las opiniones generales |
| Funcionalidades | 4.5/5 | Basado en las opiniones generales |
| Porcentaje de recomendaciones | 80% | (8/10 Probabilidad de recomendación) |

## Sobre el proveedor

- **Empresa**: Siemens
- **Constitución**: 1847

## Contexto comercial

- **Modelo de precios**:  (versión gratuita disponible) (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), Windows (local), Linux (local)
- **Idiomas admitidos**: inglés
- **Países disponibles**: Afganistán, Albania, Alemania, Angola, Antigua y Barbuda, Arabia Saudí, Argelia, Argentina, Armenia, Australia, Austria, Azerbaiyán, Bahamas, Bangladés, Barbados, Belice, Benín, Bielorrusia, Bolivia, Bosnia y Herzegovina y 149 más

## Funcionalidades

- Análisis de sentimientos
- Análisis de texto
- Análisis estadístico
- Aprendizaje automático
- Controles o permisos de acceso
- Creación de informes/análisis
- Diseño y modelado del proceso
- Extracción de datos
- Gestión de datos vinculados
- Herramientas de colaboración
- Minería de textos
- Modelado predictivo
- Panel de comunicaciones
- Previsión
- Sin código
- Varias fuentes de datos
- Visualización de datos

## Opciones de asistencia

- E-mail/Help Desk
- Preguntas frecuentes/foro
- Base de conocimientos
- Asistencia telefónica
- Chat

## Categoría

- [Software de gestión de procesos (BPM)](https://www.capterra.es/directory/30010/business-process-management/software)

## Categorías relacionadas

- [Software de gestión de procesos (BPM)](https://www.capterra.es/directory/30010/business-process-management/software)
- [Herramientas de machine learning](https://www.capterra.es/directory/31103/machine-learning/software)
- [Software de plataformas de gestión de datos](https://www.capterra.es/directory/32261/data-management-platforms/software)
- [Software de data mining](https://www.capterra.es/directory/31083/data-mining/software)
- [Herramientas BI](https://www.capterra.es/directory/23/business-intelligence/software)

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2. [IBM SPSS Statistics](https://www.capterra.es/software/13990/ibm-spss-statistics) — 4.5/5 (644 reviews)
3. [Stata](https://www.capterra.es/software/119880/stata) — 4.5/5 (183 reviews)
4. [Domo](https://www.capterra.es/software/119119/domo) — 4.3/5 (329 reviews)
5. [Qlik Sense](https://www.capterra.es/software/145530/qlik-sense) — 4.5/5 (260 reviews)

## Opiniones

### "The data scientist's swiss knife: Fast and Easy Machine Learning through RapidMiner Studio" — 4.0/5

> **Maynard John** | *11 de junio de 2019* | Investigación | Valoración de la recomendación: 8.0/10
> 
> **Puntos a favor**: One of the daunting requirements for data scientists and data storytellers is learning a programming language such as matlab and python and writing code for their tasks. This is on top of having to analyze and learn complex algorithms  needed for the task. This can be a time consuming problem, especially for those who are not adept at programming. However, this is now a thing of the past because of RapidMiner Studio.&#10;&#10;This is because RapidMiner features are drag and drop visual interface which makes all the difference. Data preparation to the final output and visualization is as simple as dragging blocks of your workflow into a canvas and connecting them altogether.&#10; &#10;RapidMiner Studio also has most of the machine learning models used in the academe and the industry. One of the difficulties when dealing with code is tweaking the parameters of these models but because of the visual interface, you could simply click on the process and update this.&#10;&#10;RapidMiner is also well documented. Each of the processes has their description, input, output, and parameters well described. Tutorial videos as well as blogs are available on their website. And finally, RapidMiner Studio has a community of data scientists that can help you when you have a question.
> 
> **Desventajas**: What I found to be very inconvenient is that the application crashes at times. This may be a problem limited to my own machine.&#10;&#10;Aside from this I found that the application seems to hog my computers memory and cpu resources. This may be because the application is running on Java (VM). This may not be a problem for people with a higher spec machine.&#10;&#10;I also found that the application lacks collaboration features which may be something that they could improve on in the future.
> 
> Overall my experience with using RapidMiner was great. It allowed me to rapidly try out different machine learning models and compare each result with one another. It also allowed me to conveniently address my workflow without having to write code. It is a great tool for students and people without a strong programming background. Its well documented functions and strong community addresses what ever questions I had with the processes.

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### "Great tool for data analytics\!" — 5.0/5

> **Rashid** | *1 de agosto de 2018* | Valoración de la recomendación: 7.0/10
> 
> **Puntos a favor**: No coding skills needed\! Rapidminer is a GUI tool that you can connect boxes on a canvas to conduct data anlysis, this serves as a great introduction to data analytics.&#10;&#10;Free for students\! You can get a provisional liscence with a dot edu account. This is a great perk of the software.&#10;&#10;Data analytics and data visualization tools are available within the software with  a plethora of other features\!
> 
> **Desventajas**: Very buggy\! The software tends to crash often, this is especially more common with things such as neural networks etc.&#13;&#10;&#13;&#10;Limitations of some versions\! Even with the student version there is a limit of 10,000 rows of output, so if you are trying to do analysis on a 12,000 point data set , 2000 points will randomly be omitted.
> 
> Great data analytic and visualization tool\!

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### "Userfriendly Interface for ETL" — 3.0/5

> **Ambreen** | *17 de marzo de 2019* | Software informático | Valoración de la recomendación: 4.0/10
> 
> **Puntos a favor**: Visual workflow designer is the best part for predictive analytics.&#10;I really like drag n drop interface for generating models.&#10;Prebuilt templates are quite useful.
> 
> **Desventajas**: It's not always free. You need to purchase it if you wana  work with more than 10000 rows.&#10;Its processing becomes too slow (almost hangs) while working with terabyte or petabyte of data.&#10;Sometimes, it becomes difficult to handle hundreds of models available.
> 
> It's a good platform while applying predictive analytics on any dataset with a user friendly interface to have the true picture of the future.

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### "I never had guessed that Data Science software was so easy" — 5.0/5

> **Roberto** | *27 de febrero de 2020* | Telecomunicaciones | Valoración de la recomendación: 10.0/10
> 
> **Puntos a favor**: The easiness of use, the support team, the video tutorials of the company, the career certification program, the visualization module has been upgraded, the integration capabilities to R, Python and Hadoop.
> 
> **Desventajas**: Actually the only complaint I have is that the sw didnt make it in the "LEADERS" quadrant of Gardner.
> 
> As being an old time user of data mining project using open programming languages, I found extremely useful all the features of Rapid Miner. Form preparing the data, creating predictive models and potting them in a visualized presentation.

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### "Excellent tool for Data Mining" — 5.0/5

> **Khurram** | *20 de noviembre de 2018* | Educación superior | Valoración de la recomendación: 10.0/10
> 
> **Puntos a favor**: Started using this software a few months ago, and its shear power is amazing. The number of things the user can do with this software are amazing
> 
> **Desventajas**: Sometimes, while handling big data, like having large number of examples and attributes, it takes a lot of time. The cumulative time increase, when the user is optimizing manually different attributes based on the results

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