Amazon SageMaker vs RapidMiner comparison

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Amazon SageMaker

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Executive SummaryUpdated on Dec 5, 2024

RapidMiner and Amazon SageMaker are both competing in the data science and machine learning platforms category. RapidMiner appears advantageous in pricing and support, while Amazon SageMaker stands out for its comprehensive features that may justify its higher cost for those requiring advanced capabilities.

Features: RapidMiner offers an intuitive data workflow management system, diverse data preprocessing tools, and a drag-and-drop functionality, making it friendly for non-coders. Amazon SageMaker provides seamless integration with AWS, scalable machine learning model deployment, and a wide range of algorithms.

Room for Improvement: RapidMiner could enhance its scalability and integration with more advanced cloud services. Improving customizability within its interface might also benefit users requiring tailored functionalities. Its documentation for more niche or advanced use-cases could be expanded. For Amazon SageMaker, streamlining its deployment configurations could simplify the onboarding process, while increasing support for non-AWS infrastructure might broaden its appeal. Expanding its no-code capabilities would also accommodate a wider range of users.

Ease of Deployment and Customer Service: RapidMiner enables quick model deployment through a user-friendly interface and offers efficient customer support, which aids in swift issue resolution. Amazon SageMaker involves a complex deployment process due to its extensive configurations but benefits from integration within the AWS ecosystem, supported by robust documentation.

Pricing and ROI: RapidMiner generally has a lower initial setup cost, attractive to budget-conscious organizations, and offers satisfactory ROI for simpler projects. Amazon SageMaker’s usage-based pricing may lead to higher upfront costs; however, its advanced capabilities promise significant ROI for enterprises leveraging AWS infrastructure for sophisticated workloads.

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

Amazon SageMaker vs. RapidMiner

January 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

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)

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)

Mindshare comparison

As of February 2025, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 7.6%, down from 9.9% compared to the previous year. The mindshare of RapidMiner is 7.7%, up from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

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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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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Quotes from Members

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

Pros

"The most valuable feature of Amazon SageMaker for me is the model deployment service."

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

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

"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."

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

"The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases."

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

"Allows you to create API endpoints."

More Amazon SageMaker pros

"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."

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

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

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

"The best part of RapidMiner is efficiency."

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

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

More RapidMiner pros

Cons

"The documentation must be made clearer and more user-friendly."

"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."

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

"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."

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

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

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

More Amazon SageMaker cons

"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."

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

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

"I would appreciate improvements in automation and customization options to further streamline processes."

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

"I think that they should make deep learning models easier."

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

"The product must provide data-cleaning features."

More RapidMiner cons

Pricing and Cost Advice

"Amazon SageMaker is a very expensive product."

"The tool's pricing is reasonable."

"The product is expensive."

"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."

"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

"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."

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

"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."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Educational Organization

14%

Computer Software Company

11%

Manufacturing Company

University

12%

Computer Software Company

11%

Financial Services Firm

10%

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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...

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...

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.

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...

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.

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.

Databricks vs Amazon SageMaker

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Compared 51% of the time

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Compared 16% of the time

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Product Reports

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Amazon SageMaker

February 2025

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February 2025

Also Known As

AWS SageMaker, SageMaker

No data available

Overview

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)

RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

Sample Customers

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

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen