RapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer. RapidMiner’s project-based framework helps to ensure that others can build off their work using visual workflows or automated data science.
$7,500
Per User Per Month
Pricing
RapidMiner
Editions & Modules
Professional
$7,500.00
Per User Per Month
Enterprise
$15,000.00
Per User Per Month
AI Hub
$54,000.00
Per User Per Month
Offerings
Pricing Offerings
RapidMiner
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup Fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
RapidMiner
Considered Both Products
RapidMiner
Verified User
Analyst
Chose RapidMiner
We tried different data tools and we figured we give RapidMinder Studio a shot as one of our employees had experience with it, and when compared to some of the other tools that we used it was the best fit among the test group that we used. Overall it was a little more fluid and …
For me, the best advantage to use RapidMiner is the ease of use to learn and deploy new processes. Yo don't need to code, you learn fast and it's really flexible when it comes to transforming data. Knime is also good, but not so flexible, and visually less attractive. Pentaho …
The other product like RapidMiner Studio that I have used is WEKA. I decided to use RapidMiner because almost all modelling methods and feature selection methods from the Weka machine learning library are available within RapidMiner. Furthermore, RapidMiner Studio is a visual …
Used R and RapidMiner Studio. The main advantage for RapidMiner Studio is the reduced need to program. It has a much smaller learning curve, and it is easy to start using the tool and analyzing from day one.
We selected RapidMiner due to ease of use and a comfortable user interface. It stacks up very well against these tools in the predictive analytics space. For basic analytics and data reporting, we chose QlikView and Qlik Sense as a more robust reporting platform.
SPSS and SAS are too expensive. Their interfaces are excellent, but the price point is quite high making them inappropriate for higher education. KNIME is my second choice tool in this space, but it doesn't have the same long established english-speaking user community as …
RapidMIner Studio is freely available and requires no programming skills. When compared with other free analytics tools, its graphical and analytical capabilities are far superior.
The best part about RapidMiner is it mainly focus on machine learning algorithms whereas other tools focus on mainly the extract transform load (ETL) process. It can serve for all the KDD (Knowledge data discovery) process stages e.g. data cleaning, transformation, modeling and …
You simply cannot do everything with RapidMiner, it is just one tool in your arsenal. I like using Python directly much better with tools such as Jupyter Notebook in conjunction with JupyterHub.
The problem with R was that you had to code everything yourself and it doesn't do that well with large amounts of data. At the same time the advantage it provided was it has a large user base which means that you could get help easily.