Compare Amazon SageMaker vs. RapidMiner

Amazon SageMaker is ranked 14th in Data Science Platforms with 4 reviews while RapidMiner is ranked 6th in Data Science Platforms with 8 reviews. Amazon SageMaker is rated 7.4, while RapidMiner is rated 8.2. The top reviewer of Amazon SageMaker writes "A solution with great computational storage, has many pre-built models, is stable, and has good support". On the other hand, the top reviewer of RapidMiner writes "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio and Domino Data Science Platform, whereas RapidMiner is most compared with KNIME, Alteryx and H2O.ai. See our Amazon SageMaker vs. RapidMiner report.
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Amazon SageMaker Logo
6,686 views|6,096 comparisons
RapidMiner Logo
9,293 views|7,747 comparisons
Most Helpful Review
Find out what your peers are saying about Amazon SageMaker vs. RapidMiner and other solutions. Updated: March 2020.
406,070 professionals have used our research since 2012.
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 is that you don't have to do any programming in order to perform some of your use cases.The deployment is very good, where you only need to press a few buttons.They are doing a good job of evolving.The few projects we have done have been promising.

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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.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.The most valuable feature is what the product sets out to do, which is extracting information and data.The most valuable features are the Binary classification and Auto Model.RapidMiner is very easy to use.The documentation for this solution is very good, where each operator is explained with how to use it.

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Cons
AI is a new area and AWS needs to have an internship training program available.Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier.I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox.I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.

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I think that they should make deep learning models easier.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.It would be helpful to have some tutorials on communicating with Python.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.A great product but confusing in some way with regard to the user interface and integration with other tools.RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models.I would like to see all users have access to all of the deep learning models, and that they can be used easily.The price of this solution should be improved.

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

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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.

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report
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Ranking
14th
Views
6,686
Comparisons
6,096
Reviews
3
Average Words per Review
560
Avg. Rating
7.3
6th
Views
9,293
Comparisons
7,747
Reviews
8
Average Words per Review
592
Avg. Rating
8.3
Top Comparisons
Compared 31% of the time.
Compared 35% of the time.
Compared 21% of the time.
Compared 6% of the time.
Also Known As
AWS SageMaker, SageMaker
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Amazon
RapidMiner
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.

Offer
Learn more about Amazon SageMaker
Learn more about RapidMiner
Sample Customers
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, IntuitPayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Top Industries
VISITORS READING REVIEWS
Software R&D Company31%
Media Company18%
Comms Service Provider11%
Retailer4%
VISITORS READING REVIEWS
Software R&D Company21%
University13%
Comms Service Provider12%
Manufacturing Company8%
Company Size
No Data Available
REVIEWERS
Small Business55%
Midsize Enterprise9%
Large Enterprise36%
VISITORS READING REVIEWS
Small Business30%
Midsize Enterprise2%
Large Enterprise68%
Find out what your peers are saying about Amazon SageMaker vs. RapidMiner and other solutions. Updated: March 2020.
406,070 professionals have used our research since 2012.
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