Amazon SageMaker vs RapidMiner comparison

Read 22 RapidMiner reviews

5,158 Views
4,232 Comparison Views

95% willing to recommend

Amazon SageMaker

Comparison Buyer's Guide

Download the report

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

Download the complete report

Helped 831,265 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

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 January 2025, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 7.7%, down from 10.0% compared to the previous year. The mindshare of RapidMiner is 7.7%, up from 5.9% 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.

Read full review

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

Quotes from Members

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

Pros

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

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

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

"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 few projects we have done have been promising."

"The technical support of the tool was good."

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

"We were able to use the product to automate processes."

More Amazon SageMaker pros

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

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

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

"The solution is very intuitive and powerful."

"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 solution is stable."

"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."

"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."

More RapidMiner pros

Cons

"For any cloud provider, the cost has to be substantially reduced, especially in the case of Amazon SageMaker, which is extremely expensive for huge workloads."

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

"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."

"Having all documentation easily accessible on the front page of SageMaker would be a great improvement."

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

"Improvements are needed in terms of complexity, data security, and access policy integration in Amazon SageMaker."

"The payment and monitoring metrics are a bit confusing not only for Amazon SageMaker but also for the range of other products that fall under AWS, especially for a new user of the product."

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

More Amazon SageMaker cons

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

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

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

"I would like to see more integration capabilities."

"Improve the online data services."

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

"The product must provide data-cleaning features."

"The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade."

More RapidMiner cons

Pricing and Cost Advice

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

"The product is expensive."

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

"Amazon SageMaker is a very expensive product."

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

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

"The solution is relatively cheaper."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate the solution's pricing a six out of ten."

More Amazon SageMaker pricing and cost advice

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

"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'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."

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

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

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

831,265 professionals have used our research since 2012.

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

10%

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

Comparisons

Compared 26% of the time

Azure OpenAI vs Amazon SageMaker

Compared 12% of the time

Google Vertex AI vs Amazon SageMaker

Compared 10% of the time

Domino Data Science Platform vs Amazon SageMaker

Compared 7% of the time

Dataiku vs Amazon SageMaker

Compared 7% of the time

More Amazon SageMaker Competitors

KNIME vs RapidMiner

Compared 51% of the time

Dataiku vs RapidMiner

Compared 16% of the time

Alteryx vs RapidMiner

Compared 9% of the time

Tableau vs RapidMiner

Compared 6% of the time

H2O.ai vs RapidMiner

Compared 1% of the time

More RapidMiner Competitors

Product Reports

Amazon SageMaker

Download Amazon SageMaker product report

Download RapidMiner product report

Also Known As

AWS SageMaker, SageMaker

No data available

Learn More

Amazon Web Services (AWS)

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.

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

Amazon SageMaker vs. RapidMiner