Pricing score

6.6

Altair RapidMiner Pricing Profile

Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an organization.

Key Takeaways

End-to-End Data Science Platform

RapidMiner provides an integrated environment for all stages of the machine learning lifecycle, from data ingestion and exploration to model development, deployment, and monitoring.

No-Code/Low-Code Environment

It offers a visual workflow interface that allows users to build machine learning models without writing code. For advanced users, RapidMiner also provides the ability to integrate custom scripts using R and Python.

Data Preparation and Cleaning

RapidMiner includes powerful tools for data wrangling, cleaning, and transformation, helping users preprocess data efficiently before feeding it into machine learning models. It supports various data types, including structured and unstructured data.

Product Overview

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Altair RapidMiner (formerly known as RapidMiner before its acquisition by Altair in 2023) is an end-to-end data science platform designed to facilitate the entire machine learning lifecycle. It provides tools for data preparation, model building, deployment, and monitoring.

RapidMiner’s goal is to simplify complex data analytics and machine learning workflows for business users, data scientists, and engineers, enabling them to generate actionable insights from data.

INSIGHTS

Our insights about Altair RapidMiner pricing

01

Free trial

02

Pricing information is not publicly available

03

Demo available

Available Pricing Models

How much does Altair RapidMiner cost?

Altair RapidMiner does not publicly disclose its pricing on its website, as costs can vary based on factors like company size, the products selected, and specific requirements. For the most accurate and personalized pricing information, it’s best to contact Altair RapidMiner directly through their website or speak with a sales representative.

What users say about Altair RapidMiner pricing

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Verified User in Higher Education

Cost, performance with large dataset,exporting limitations.

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Aman S.

Rapidminer can be slow or freeze with large or complex data sets. It also has limited options for exporting or sharing results with other tools or platforms. Moreover, RapidMiner can be costly for some users who want more advanced features or functionalities.

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Anthony K.

RapidMiner is not free and open source, while some of the internal code is open source. RapidMiner only allows 10,000 lines in examplesets unless it is a paid version.

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Sarah S.

I used it educational and comercial platforms both for more than 2 years in my research. And, I loved it. It has several AI/ML built-in models to test and customise to analyse big data in tabular form having temporal and several other forms of data fields.

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Verified User in Higher Education

The most helpful thing about altair rapidminer is that it is very helpful for beginners in learning data science because the User Interface (UI) has used full Visualization which is very easy for beginners to learn and apply basic and advanced techniques in learning data science, the guide to solving errors is very helpful with options that can be easily selected by users. The advantages of using Altair Rapidminer are very visible in the application of data science which usually uses programming codes but can be done with an interactive and easy-to-use GUI that wraps the complexity of programming.

avatar

Verified User in Higher Education

Cost, performance with large dataset,exporting limitations.

avatar

Sarah S.

I used it educational and comercial platforms both for more than 2 years in my research. And, I loved it. It has several AI/ML built-in models to test and customise to analyse big data in tabular form having temporal and several other forms of data fields.

avatar

Aman S.

Rapidminer can be slow or freeze with large or complex data sets. It also has limited options for exporting or sharing results with other tools or platforms. Moreover, RapidMiner can be costly for some users who want more advanced features or functionalities.

avatar

Verified User in Higher Education

The most helpful thing about altair rapidminer is that it is very helpful for beginners in learning data science because the User Interface (UI) has used full Visualization which is very easy for beginners to learn and apply basic and advanced techniques in learning data science, the guide to solving errors is very helpful with options that can be easily selected by users. The advantages of using Altair Rapidminer are very visible in the application of data science which usually uses programming codes but can be done with an interactive and easy-to-use GUI that wraps the complexity of programming.

avatar

Anthony K.

RapidMiner is not free and open source, while some of the internal code is open source. RapidMiner only allows 10,000 lines in examplesets unless it is a paid version.

Altair RapidMiner Pricing Rating

AutoML Capabilities: 4.8/5

RapidMiner’s AutoML functionality allows users to automate the model selection, training, and hyperparameter tuning process, which is useful for both novice users and experienced data scientists looking for faster experimentation cycles.

Collaboration and Sharing: 4.7/5

The collaborative features make it easy for teams to share models, workflows, and results, improving teamwork and ensuring that everyone is working with the most up-to-date resources.

Scalability: 4.9/5

RapidMiner supports scalability for enterprise-level applications, allowing users to process large datasets and deploy models in both small-scale and large-scale production environments.

FAQ on Altair RapidMiner Pricing

Do I need programming skills to use RapidMiner?

No, RapidMiner is designed to be user-friendly with a visual workflow interface that allows users to build machine learning models without writing code. However, it also allows for advanced scripting using Python or R for experienced data scientists.

What is AutoML in RapidMiner?

AutoML in RapidMiner is a feature that automates the process of model selection, training, and hyperparameter tuning. It helps users automatically find the best model for their data without manually adjusting parameters, speeding up the model development process.

How can I deploy models in RapidMiner?

RapidMiner allows users to deploy models via REST APIs, which can be integrated into web applications, cloud platforms (AWS, Azure, GCP), or on-premise systems. You can also export models to various formats for use in other environments.

Can I collaborate with others in RapidMiner?

Yes, RapidMiner supports team collaboration by enabling users to share workflows, datasets, and models within the platform. This feature is especially useful in enterprise settings, where data science teams need to collaborate and manage projects.