Senior Technical Manager at a computer software company with 1,001-5,000 employees
Real User
Top 10
2024-05-07T19:24:39Z
May 7, 2024
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 data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs.
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.
Senior Manager at a consultancy with 201-500 employees
Real User
2021-12-13T16:19:00Z
Dec 13, 2021
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.
Executive Director at a philanthropy with 201-500 employees
Real User
2021-10-20T09:11:43Z
Oct 20, 2021
It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry.
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.
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 data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs.
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.
I've been using a lot of components from the Strategic Extension and Python Extension.
It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive.
The solution is stable.
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.
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.
It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry.
The data science, collaboration, and IDN are very, very strong.
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.