Compare Alteryx vs. RapidMiner

Alteryx is ranked 1st in Predictive Analytics with 12 reviews while RapidMiner is ranked 3rd in Predictive Analytics with 8 reviews. Alteryx is rated 9.0, while RapidMiner is rated 8.2. The top reviewer of Alteryx writes "Does a good job of end-to-end integration as well as accessing data from multiple sources or email modes". 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". Alteryx is most compared with KNIME, Dataiku Data Science Studio and Microsoft BI, whereas RapidMiner is most compared with KNIME, Alteryx and H2O.ai. See our Alteryx vs. RapidMiner report.
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Alteryx Logo
32,774 views|26,033 comparisons
RapidMiner Logo
9,255 views|7,676 comparisons
Most Helpful Review
Find out what your peers are saying about Alteryx vs. RapidMiner and other solutions. Updated: March 2020.
407,538 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
Alteryx has made us more agile and increased the speed and effectiveness of decision making.The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources.This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components.The solution offers excellent predicting power. The accuracy and confidence have been great.The product is very stable and super fast, five-star. It's significantly more stable than it's nearest competitor.Alteryx is so advanced. It's just drag and drop.Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase.Alteryx speeds up the time to obtain business answers/insights on data.

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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
The server is too expensive for what you get and it really a designer desktop on a server.There is currently no cloud solution and this would be valuable for many clients.The GUI interface functions but it could stand to be updated to a more modern look and feel.The solution could work on the BI side of the tool to make it a bit better.The only area where the product lags is documentation and videos on the analytical app and the batch macro.It would be great if Alteryx could take third party tools and incorporate them.Even when it already includes some AI models, this area could be improved.It would be great to create the final users' visualization within Alteryx.

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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
We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees.The pricing is $5000 per year per production license.Opt for the three year subscription. It is 20% less than the yearly one.ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less.It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions).‚ÄčIt can be a bit pricey, especially after the first year.

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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
Use our free recommendation engine to learn which Predictive Analytics solutions are best for your needs.
407,538 professionals have used our research since 2012.
Ranking
1st
Views
32,774
Comparisons
26,033
Reviews
12
Average Words per Review
439
Avg. Rating
8.9
3rd
Views
9,255
Comparisons
7,676
Reviews
8
Average Words per Review
629
Avg. Rating
8.3
Top Comparisons
Compared 30% of the time.
Compared 7% of the time.
Compared 35% of the time.
Compared 21% of the time.
Compared 5% of the time.
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Alteryx
RapidMiner
Overview

Alteryx is a self-service data analytics solution, that provides a platform that can prep, blend, and analyze all of your data, then deploy and share analytics in hours. It can automate time-consuming and manual data tasks while performing predictive, statistical, and spatial analytics in the same workflow. It uses a drag and drop tool with an intuitive user interface with no coding and programming required. Alteryx licenses are subscription-based and include all product updates and support to their customers.

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 Alteryx
Learn more about RapidMiner
Sample Customers
AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy QueenPayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Top Industries
REVIEWERS
Manufacturing Company14%
Software R&D Company14%
Non Tech Company14%
Hospitality Company7%
VISITORS READING REVIEWS
Software R&D Company28%
Financial Services Firm11%
Comms Service Provider11%
Manufacturing Company6%
VISITORS READING REVIEWS
Software R&D Company21%
University13%
Comms Service Provider13%
Manufacturing Company8%
Company Size
REVIEWERS
Small Business48%
Midsize Enterprise14%
Large Enterprise38%
VISITORS READING REVIEWS
Small Business19%
Midsize Enterprise8%
Large Enterprise73%
REVIEWERS
Small Business55%
Midsize Enterprise9%
Large Enterprise36%
VISITORS READING REVIEWS
Small Business30%
Midsize Enterprise2%
Large Enterprise69%
Find out what your peers are saying about Alteryx vs. RapidMiner and other solutions. Updated: March 2020.
407,538 professionals have used our research since 2012.
We monitor all Predictive Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.