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 7.8% mindshare in Data Science Platforms, compared to Amazon Web Services (AWS)’s 6.5% 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

4,773 Views
745 Comparison Views

96% willing to recommend

Amazon SageMaker

Read 37 Amazon SageMaker reviews

5,230 Views
1,674 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: June 2025).

Buyer's Guide

Altair RapidMiner vs. Amazon SageMaker

June 2025

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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

2nd

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Development Platforms (5th)

Mindshare comparison

As of June 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.8%, up from 7.0% compared to the previous year. The mindshare of Amazon SageMaker is 6.5%, down from 9.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Gopi Manoj Vuyyuru

Technical Support Team Lead at HCLTech

An open-source software tool for data and text mining with an excellent built-in data tuning feature for achieving better accuracy

I would advise new users to remember that RapidMiner requires building your pipeline. You need to start from scratch, which includes loading the data, cleaning it, making visualizations, and training the model and is not fully automated. I wouldn't thoroughly recommend it if you don't have working knowledge. There are some support articles and built-in hints, but platforms like DataRobot, which are fully automated, might be better for you if you're starting. Learning RapidMiner as a beginner is straightforward. You need to understand how a model works, know the different stages involved in modelling, and the importance of cleaning data. RapidMiner has a learning platform where you can learn the basic modules and how things work. They also offer certifications if you complete courses and exams. It's a good option for beginners to thoroughly learn about different models and the modelling stages. Overall, I would rate it an eight out of ten.

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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 ( /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."

"The solution is very intuitive and powerful."

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

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

"I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries."

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

"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."

"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 supports building, training, and deploying AI models from scratch, which is crucial for my ML project."

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

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

"The support is very good with well-trained engineers whose training curriculum is rigorous."

"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."

"The most valuable feature of Amazon SageMaker is SageMaker Studio."

"The most valuable features are the ability to store artifacts and gather reports and measures from experiments."

More Amazon SageMaker pros

Cons

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

"I would like to see more integration capabilities."

"Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning."

"The price of this solution should be improved."

"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."

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

"Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there."

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

More Altair RapidMiner cons

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

"The model repository is a concern as models are stored on a bucket and there's an issue with versioning."

"The main challenge with Amazon SageMaker is the integrations."

"While integration is available, there are concerns about how secure this integration is, particularly when exposing data to SageMaker."

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

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

"One area for improvement is the pricing, which can be quite high."

"In general, improvements are needed on the performance side of the product's graphical user interface-related area since it consumes a lot of time for a user."

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."

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

"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."

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

"The product is expensive."

"The pricing is comparable."

"Databricks solution is less costly than Amazon SageMaker."

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

"The cost offers a pay-as-you-go pricing model. It depends on the instance that you do."

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

"The support costs are 10% of the Amazon fees and it comes by default."

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

More Amazon SageMaker pricing and cost advice

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Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Educational Organization

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 7% 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 13% of the time

Azure OpenAI vs Amazon SageMaker

Compared 12% of the time

Dataiku vs Amazon SageMaker

Compared 11% of the time

Google Vertex AI vs Amazon SageMaker

Compared 8% of the time

DataRobot vs Amazon SageMaker

Compared 8% of the time

More Amazon SageMaker Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

June 2025

Download Altair RapidMiner product report

Buyer's Guide

Amazon SageMaker

June 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

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