Altair RapidMiner vs Amazon SageMaker comparison

Altair and Amazon Web Services (AWS) are both solutions in the Data Science Platforms category. Altair is ranked #7 with an average rating of 8.1, while Amazon Web Services (AWS) is ranked #2 with an average rating of 8.0. Altair holds a 7.0% mindshare in Data Science Platforms, compared to Amazon Web Services (AWS)’s 5.7% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 91% of Amazon Web Services (AWS) users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

4,556 Views
3,964 Comparison Views

96% willing to recommend

Amazon SageMaker

Read 38 Amazon SageMaker reviews

6,422 Views
3,725 Comparison Views

91% willing to recommend

Altair RapidMiner

Amazon SageMaker

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 8, 2025

Altair RapidMiner and Amazon SageMaker are competing in the machine learning platform category. Altair RapidMiner is favored for its ease of deployment, while Amazon SageMaker stands out for its extensive features and scalability.

Features: Altair RapidMiner provides robust data preparation, modeling, and visualization tools, simplifying use with drag-and-drop functionality. Its user-friendly operations make it accessible for all levels. Amazon SageMaker integrates seamlessly with AWS services, offering comprehensive model tuning, automatic deployment, and extensive cloud-based features.

Room for Improvement: Altair RapidMiner could enhance its generative AI adaptation, expand its cloud capabilities, and improve integration with external services. Amazon SageMaker could simplify its initial setup, offer more streamlined integration options for non-AWS users, and enhance support for on-premises environments.

Ease of Deployment and Customer Service: Amazon SageMaker excels with integration and deployment within AWS, supporting scalability with real-time updates. Altair RapidMiner offers straightforward deployment and significant support for both on-premises and cloud environments, providing personalized support and smoother initial setups.

Pricing and ROI: Altair RapidMiner is cost-effective with lower setup costs, providing strong ROI for smaller projects. Amazon SageMaker requires a more significant investment for its extensive features but justifies the cost with scalability for large enterprises, potentially offering significant returns.

To learn more, read our detailed Altair RapidMiner vs. Amazon SageMaker Report (Updated: September 2025).

Buyer's Guide

Altair RapidMiner vs. Amazon SageMaker

September 2025

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Helped 872,655 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Altair RapidMiner

Ranking in Data Science Platforms

7th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Predictive Analytics (3rd)

Amazon SageMaker

Ranking in Data Science Platforms

2nd

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

AI Development Platforms (4th)

Mindshare comparison

As of October 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.0%, down from 7.5% compared to the previous year. The mindshare of Amazon SageMaker is 5.7%, down from 7.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Amazon SageMaker	5.7%
Altair RapidMiner	7.0%
Other	87.3%

Data Science Platforms

Featured Reviews

Rathnam Makam

Senior Technical Manager at a computer software company with 1,001-5,000 employees

A no-code tool that helps to build machine learning models

One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users. I haven't explored the tool's latest version, so I'm unaware of the current features. However, I think it would be beneficial if they could enhance capabilities related to deep neural networks, provide better support for generating UI, and allow for importing and utilizing large language models.

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Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

Create innovative assistants with seamless data integration for large-scale projects

The various integration options available in Amazon SageMaker, such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue integrate well for data transformations. The Databricks integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow, PyTorch, and MXNet, and comes with pre-trained algorithms for forecasting, anomaly detection, and more.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Using the GUI, I can have models and algorithms drag and drop nodes."

"Altair RapidMiner is appreciated for its ease of use and the CRISP data mining model it supports, covering steps like data preparation, data understanding, and business understanding."

"The best part of RapidMiner is efficiency."

"Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool."

"The most valuable features are the Binary classification and Auto Model."

"The data science, collaboration, and IDN are very, very strong."

"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."

"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."

More Altair RapidMiner pros

"SageMaker is a comprehensive platform where I can perform all machine learning activities."

"Allows you to create API endpoints."

"The technical support of the tool was good."

"It's user-friendly for business teams as they can understand many aspects through the AWS interface."

"Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."

"They offer insights into everyone making calls in my organization."

"We've had no problems with SageMaker's stability."

"The most tool's valuable feature, in my experience, is hyperparameter tuning. It allows us to test different parameters for the same model in parallel, which helps us quickly identify the configuration that yields the highest accuracy. This parallel computing capability saves us a lot of time."

More Amazon SageMaker pros

Cons

"I would like to see more integration capabilities."

"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."

"The product must provide data-cleaning features."

"It would be helpful to have some tutorials on communicating with Python."

"If they could include video tutorials, people would find that quite helpful."

"The price of this solution should be improved."

"Improve the online data services."

"Altair RapidMiner needs updates to its examples, particularly in business and marketing areas, and to the tool itself. The user interface should be improved."

More Altair RapidMiner cons

"I had to create custom templates for labeling multi-data sets, such as text and images, which was time-consuming."

"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."

"The product must provide better documentation."

"Improvement is needed in the no-code and low-code capabilities of Amazon SageMaker. This would empower citizen data scientists to utilize the tool more effectively since many data scientists do not have a core development background."

"The user interface (UI) and user experience (UX) of SageMaker and AWS, in general, need improvement as they are not intuitive and require substantial time to learn how to use specific services."

"I would recommend having more walkthrough videos and articles beyond AWS Skill Builder."

"Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process."

"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."

More Amazon SageMaker cons

Pricing and Cost Advice

"For the university, the cost of the solution is free for the students and teachers."

"I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment."

"Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year."

"I used an educational license for this solution, which is available free of charge."

"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

"On average, customers pay about $300,000 USD per month."

"The solution is relatively cheaper."

"The pricing could be better, especially for querying. The per-query model feels expensive."

"I would rate the solution's price a ten out of ten since it is very high."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a six out of ten."

"The tool's pricing is reasonable."

"SageMaker is worth the money for our use case."

"You don't pay for Sagemaker. You only pay for the compute instances in your storage."

More Amazon SageMaker pricing and cost advice

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Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Manufacturing Company

10%

Educational Organization

Financial Services Firm

18%

Computer Software Company

11%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	11
Large Enterprise	16

Questions from the Community

What do you like most about RapidMiner?

RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the dat...

See all answers

What is your experience regarding pricing and costs for RapidMiner?

I started with a trial version. We are likely to purchase a license, which may offer additional features.

See all answers

What needs improvement with RapidMiner?

Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning. It would be beneficial if the platform co...

See all answers

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

What do you like most about Amazon SageMaker?

We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for t...

See all answers

What is your experience regarding pricing and costs for Amazon SageMaker?

If you manage it effectively, their pricing is reasonable. It's similar to anything in the cloud; if you don't manage it properly, it can be expensive, but if you do, it's fine.

See all answers

Comparisons

KNIME Business Hub vs Altair RapidMiner

Compared 47% of the time

Dataiku vs Altair RapidMiner

Compared 14% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 8% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

Anaconda Business vs Altair RapidMiner

Compared 2% of the time

More Altair RapidMiner Competitors

Dataiku vs Amazon SageMaker

Compared 10% of the time

Databricks vs Amazon SageMaker

Compared 9% of the time

DataRobot vs Amazon SageMaker

Compared 8% of the time

Azure OpenAI vs Amazon SageMaker

Compared 8% of the time

Google Vertex AI vs Amazon SageMaker

Compared 8% of the time

More Amazon SageMaker Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

October 2025

Download Altair RapidMiner product report

Buyer's Guide

Amazon SageMaker

October 2025

Download Amazon SageMaker product report

Also Known As

No data available

AWS SageMaker, SageMaker

Overview

Altair RapidMiner is a leading platform for data science and machine learning, offering a user-friendly interface with powerful tools for predictive analytics. It supports integration with APIs, Python, and cloud services for streamlined workflow creation.

RapidMiner provides an efficient data science environment featuring drag-and-drop functionality, automation tools, and a wide array of algorithms, making it adaptable for novices and experts alike. Users benefit from easy data preparation and analysis alongside robust support from a vibrant community. Challenges include better onboarding and deep learning model accessibility, alongside calls for enhanced image processing and large language model integration.

What features make Altair RapidMiner stand out?

Data science tools: Facilitates machine learning and predictive analytics.
Code-optional GUI: Enables non-programmers to create workflows seamlessly.
Integration: Supports APIs, Python, and cloud services.
Drag-and-drop functionality: Simplifies workflow creation for users.
Algorithm variety: Offers diverse methods for data analysis.

What benefits and ROI should users consider when evaluating?

Efficiency: Saves time in data preparation and workflow automation.
Accessibility: Intuitive design aids beginners and experts.
Community: Access to extensions and collaborative resources.
Documentation: Comprehensive tutorials enhance learning.

Altair RapidMiner is extensively used in business and academia, facilitating tasks like predictive analytics, segmentation, and deployment. In education, it supports data science teaching and research, while in industries such as telecom, banking, and healthcare, it's used for data mining, decision trees, and market analysis.

Altair

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

Amazon Web Services (AWS)

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit

Buyer's Guide

Altair RapidMiner vs. Amazon SageMaker

September 2025

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