Altair RapidMiner vs Amazon SageMaker comparison

Altair and Amazon Web Services (AWS) are both solutions in the Data Science Platforms category. Altair is ranked #6 with an average rating of 8.3, while Amazon Web Services (AWS) is ranked #3 with an average rating of 8.0. Altair holds a 7.8% mindshare in Data Science Platforms, compared to Amazon Web Services (AWS)’s 7.5% mindshare. Additionally, 95% 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 22 Altair RapidMiner reviews

5,232 Views
4,119 Comparison Views

95% willing to recommend

Amazon SageMaker

Read 36 Amazon SageMaker reviews

6,544 Views
5,235 Comparison Views

91% willing to recommend

Altair RapidMiner

Amazon SageMaker

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 4, 2025

Altair RapidMiner and Amazon SageMaker are competitors in the data science platform category. Altair RapidMiner has an advantage in terms of competitive pricing and customer support, while Amazon SageMaker is stronger in its extensive feature set and scalability.

Features: Altair RapidMiner offers robust data preparation, drag-and-drop workflows, and auto model capabilities, making it user-friendly for non-coders. Amazon SageMaker provides an integrated suite for building, training, and deploying machine learning models with support for advanced deep learning frameworks, offering features like hyperparameter tuning, scalable infrastructure, and seamless integration with AWS services.

Room for Improvement: Altair RapidMiner could expand its feature set to include more advanced deep learning capabilities and improve scalability. Amazon SageMaker could enhance its usability for beginners, reduce dependency on technical expertise, and simplify documentation for users unfamiliar with AWS environment complexities.

Ease of Deployment and Customer Service: Altair RapidMiner simplifies deployment with intuitive processes and comprehensive customer support, making it ideal for organizations seeking a quick setup. In contrast, Amazon SageMaker integrates seamlessly within the AWS ecosystem, which offers scalability and advanced AI-driven solutions but may require more technical expertise for setup and operation.

Pricing and ROI: Altair RapidMiner appeals with an attractive cost structure that suits companies balancing upfront investment with returns. Amazon SageMaker, while potentially more costly, offers a significant potential ROI due to its extensive functionality and scalability, making it suitable for enterprises with large data processing demands.

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

Buyer's Guide

Altair RapidMiner vs. Amazon SageMaker

January 2025

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Helped 839,422 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

6th

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

3rd

Average Rating

7.8

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Development Platforms (4th)

Mindshare comparison

As of March 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.8%, up from 6.5% compared to the previous year. The mindshare of Amazon SageMaker is 7.5%, down from 9.9% 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.

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Hemant Paralkar

Lead Consultant at Saama

Improves team collaboration with advanced feature sharing but needs a better user experience

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. Additionally, dealing with frequent UI updates can be challenging, especially for infrastructure architects like myself. It involves effort to migrate to new UIs, making the updates not seamless. User auditing requires enhancements as tracking operations performed by users can be difficult due to dynamic IP validation and role propagation.

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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."

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

"It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."

"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 data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs."

"The solution is very intuitive and powerful."

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

"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."

More Altair RapidMiner pros

"Amazon SageMaker is highly valuable for managing ML workloads. It connects to AWS cloud resources, making it easy to deploy algorithms and collaborate using tools like GitLab. It offers a wide range of Python libraries and other necessary tools for modelling and algorithms."

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

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

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

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

"I appreciate the ease of use in Amazon SageMaker."

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

"The most valuable features include the ML operations that allow for designing, deploying, testing, and evaluating models."

More Amazon SageMaker pros

Cons

"I would like to see all users have access to all of the deep learning models, and that they can be used easily."

"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."

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

"The price of this solution should be improved."

"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."

"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."

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

More Altair RapidMiner cons

"The solution is complex to use."

"One area where Amazon SageMaker could improve is its pricing. The high costs can drive companies to explore other cloud options. Additionally, while generally good, the updates sometimes come with bugs, and the documentation could be much better. More examples and clearer guidance would be helpful."

"Amazon SageMaker can make it simpler to manage the data flow from start to finish, such as by integrating data, usingthe machine, and deploying models. This process could be more user-friendly compared to other tools. I would also like to improve integration with Bedrock and the LLM connection for AWS."

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

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

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

"When starting a new session, the waiting time can be quite long, ranging from two to five minutes."

"The platform could be more accessible to users with basic coding skills, making it more intuitive and easier for beginners to use comfortably."

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."

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

"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."

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

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

"I rate the pricing a five on a scale of one to ten, where one is the lowest price, and ten is the highest price. The solution is priced reasonably. There is no additional cost to be paid in excess of the standard licensing fees."

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

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

"The tool's pricing is reasonable."

"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."

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

More Amazon SageMaker pricing and cost advice

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Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Financial Services Firm

10%

Educational Organization

Financial Services Firm

18%

Educational Organization

14%

Computer Software Company

11%

Manufacturing Company

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'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.

See all answers

What needs improvement with RapidMiner?

The product must provide data-cleaning features. I could not use RapidMiner for data cleaning in one of my projects and had to use Python instead.

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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?

Before deploying SageMaker, I reviewed the pricing, especially for notebook instances. The cost for small to medium instances is not very high.

See all answers

Comparisons

KNIME vs Altair RapidMiner

Compared 52% of the time

Dataiku vs Altair RapidMiner

Compared 17% of the time

Alteryx vs Altair RapidMiner

Compared 8% of the time

Tableau vs Altair RapidMiner

Compared 7% of the time

More Altair RapidMiner Competitors

Databricks vs Amazon SageMaker

Compared 21% of the time

Azure OpenAI vs Amazon SageMaker

Compared 12% of the time

Dataiku vs Amazon SageMaker

Compared 9% of the time

Google Vertex AI vs Amazon SageMaker

Compared 9% of the time

Domino Data Science Platform vs Amazon SageMaker

Compared 7% of the time

More Amazon SageMaker Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

February 2025

Download Altair RapidMiner product report

Buyer's Guide

Amazon SageMaker

March 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

January 2025

Free Report: Altair RapidMiner vs. Amazon SageMaker

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