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 #3 with an average rating of 8.0. Altair holds a 7.7% mindshare in Data Science Platforms, compared to Amazon Web Services (AWS)’s 6.2% 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

5,302 Views
4,560 Comparison Views

96% willing to recommend

Amazon SageMaker

Read 37 Amazon SageMaker reviews

7,896 Views
4,738 Comparison Views

91% willing to recommend

Altair RapidMiner

Amazon SageMaker

Comparison Buyer's Guide

Download the report

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: June 2025).

Buyer's Guide

Altair RapidMiner vs. Amazon SageMaker

June 2025

Download the complete report

Helped 861,524 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 (2nd)

Amazon SageMaker

Ranking in Data Science Platforms

3rd

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Development Platforms (5th)

Mindshare comparison

As of July 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.7%, up from 7.1% compared to the previous year. The mindshare of Amazon SageMaker is 6.2%, down from 9.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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.

Read full review

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 ( /products/amazon-sagemaker-reviews ), such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue ( /products/aws-glue-reviews ) integrate well for data transformations. The Databricks ( /products/databricks-reviews ) integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow ( /products/tensorflow-reviews ), PyTorch ( /products/pytorch-reviews ), and MXNet ( /products/mxnet-reviews ), 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."

"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."

"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."

"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."

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

"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."

"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."

More Altair RapidMiner pros

"The most valuable feature of Amazon SageMaker is its integration. For example, AWS Lambda. Additionally, we can write Python code."

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

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

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

"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."

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

"The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."

"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."

More Amazon SageMaker pros

Cons

"In the Mexican or Latin American market, it's kind of pricey."

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

"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."

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

"Improve the online data services."

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

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

"The price of this solution should be improved."

More Altair RapidMiner cons

"Amazon might need to emphasize its capabilities in generative models more effectively."

"The solution needs to be cheaper since it now charges per document for extraction."

"There is room for improvement in the collaboration with serverless architecture, particularly integration with AWS Lambda."

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

"Lacking in some machine learning pipelines."

"There are other better solutions for large data, such as Databricks."

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

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

More Amazon SageMaker cons

Pricing and Cost Advice

"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."

"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."

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

"The solution is relatively cheaper."

"The product is expensive."

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

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

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

"The pricing is comparable."

"The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation."

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

More Amazon SageMaker pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

861,524 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

11%

University

10%

Educational Organization

10%

Manufacturing Company

Financial Services Firm

19%

Computer Software Company

12%

Manufacturing Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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?

The pricing is high, around an eight. However, SageMaker offers free trials for the first two months, allowing users to determine which features they need. It is considered value for money given it...

See all answers

Comparisons

KNIME vs Altair RapidMiner

Compared 51% of the time

Dataiku vs Altair RapidMiner

Compared 16% of the time

Tableau vs Altair RapidMiner

Compared 8% of the time

Alteryx vs Altair RapidMiner

Compared 7% of the time

TIBCO Statistica vs Altair RapidMiner

Compared 1% of the time

More Altair RapidMiner Competitors

Databricks vs Amazon SageMaker

Compared 12% of the time

Dataiku vs Amazon SageMaker

Compared 11% of the time

Azure OpenAI vs Amazon SageMaker

Compared 11% of the time

Google Vertex AI vs Amazon SageMaker

Compared 9% of the time

DataRobot vs Amazon SageMaker

Compared 8% of the time

More Amazon SageMaker Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

July 2025

Download Altair RapidMiner product report

Buyer's Guide

Amazon SageMaker

July 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

June 2025

Free Report: Altair RapidMiner vs. Amazon SageMaker

Find out what your peers are saying about Altair RapidMiner vs. Amazon SageMaker and other solutions. Updated: June 2025.

DOWNLOAD NOW

861,524 professionals have used our research since 2012.

See our Altair RapidMiner vs. Amazon SageMaker report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.