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 869,785 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

"I've been using a lot of components from the Strategic Extension and Python Extension."

"The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."

"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."

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

"RapidMiner for Windows is an excellent graphical tool for data science."

"The documentation for this solution is very good, where each operator is explained with how to use it."

"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."

"The best part of RapidMiner is efficiency."

More Altair RapidMiner pros

"The feature I found most valuable is the data catalog, as it assists with the lineage of data through the preparation pipeline."

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

"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."

"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."

"The evolution from SageMaker Classic to SageMaker Studio, particularly the UI part of Studio, is commendable."

"One of the most valuable features of Amazon SageMaker for me is the one-touch deployment, which simplifies the process greatly."

"The tool has made client management easier where patients need to upload their health records and we can use the tool to understand details on treatment date, amount, etc."

"The few projects we have done have been promising."

More Amazon SageMaker pros

Cons

"The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator."

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

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

"A great product but confusing in some way with regard to the user interface and integration with other tools."

"RapidMiner can improve deep learning by enhancing the features."

"The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."

"The price of this solution should be improved."

"Improve the online data services."

More Altair RapidMiner cons

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

"The dashboard could be improved by including more features and providing more information about deployed models, their drift, performance, scaling, and customization options."

"Improvement is needed in the no-code and low-code capabilities of Amazon SageMaker."

"The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV."

"The solution requires a lot of data to train the model."

"The training modules could be enhanced. We had to take in-person training to fully understand SageMaker, and while the trainers were great, I think more comprehensive online modules would be helpful."

"SageMaker would be improved with the addition of reporting services."

"They could add features such as managing environments, experiment management across those environments, and the integration with training datasets as you go through those experiments."

More Amazon SageMaker cons

Pricing and Cost Advice

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

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

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

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

"Amazon SageMaker is a very expensive product."

"There is no license required for the solution since you can use it on demand."

"The tool's pricing is reasonable."

"Databricks solution is less costly than Amazon SageMaker."

"In terms of pricing, I'd also rate it ten out of ten because it's been beneficial compared to other solutions."

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

"The product is expensive."

More Amazon SageMaker pricing and cost advice

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Top Industries

By visitors reading reviews

University

11%

Manufacturing Company

10%

Computer Software Company

10%

Educational Organization

10%

Financial Services Firm

18%

Computer Software Company

12%

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

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H2O.ai vs Altair RapidMiner

Compared 1% of the time

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Compared 10% of the time

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Compared 9% of the time

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Compared 8% of the time

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Compared 8% of the time

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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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