we do automated clustering, predictive modeling, feature engineering, and time series forecasting for our work Review collected by and hosted on G2.com.

we haven't gotten to something that it hasn't been really helpful for since we know what we are using it for when we open it Review collected by and hosted on G2.com.

It empowers our organization with advanced machine learning and data analytics, enabling smarter decision making. Its automation and predictive modeling streamline complex data process, improving efficiency. With seamless integration and scalability, it enhances our ability to analyze large datasets effectively. It has better user interface with drag and drop feature to create reports. Review collected by and hosted on G2.com.

Integration with certain legacy systems are bit complex which leads to longer implementation time. Review collected by and hosted on G2.com.

What I liked was how easy it is to use. And how well distributed Review collected by and hosted on G2.com.

What I didn't like was that sometimes contacting support was complicated. Review collected by and hosted on G2.com.

Its user-friendly AI Tool designed to help individuals and organizations both Review collected by and hosted on G2.com.

Ease to use no coding required only drag and drop. Review collected by and hosted on G2.com.

The most helpful aspect of Altair RapidMiner is that it is very beneficial for beginners learning data science because the User Interface (UI) employs comprehensive visualization, making it very easy for beginners to learn and apply both basic and advanced techniques in data science. The error-solving guide is very helpful, offering options that users can easily select. The advantages of using Altair RapidMiner are evident in the application of data science, which typically involves programming codes but can be accomplished with an interactive and user-friendly GUI that simplifies the complexity of programming. Review collected by and hosted on G2.com.

what is less helpful and I feel in using rapidminer is that it cannot provide the results of accuracy, precision, recall and f1-score metrics, especially for multi-class classification on the confusion matrix. the shortcomings of rapid miner need to be added for more statistical processing such as non-parametric tests. Review collected by and hosted on G2.com.

Its graphical user interface enables users to perform complex data science tasks through simple drag-and-drop action Review collected by and hosted on G2.com.

Sometimes i experience slowdowns or freezing when handling large or complex datasets Review collected by and hosted on G2.com.

I used it educational and comercial platforms both for more than 2 years in my research. And, I loved it. It has several AI/ML built-in models to test and customise to analyse big data in tabular form having temporal and several other forms of data fields.

There are many evaluation and validation tools. The data can be viewed as pie, sun burst, bars, etc. Confusion Matrices are the best form of representation of results. Other statistical evaluation measures are also there as; mean squared error, log loss, etc. Review collected by and hosted on G2.com.

Visual representations are there but not as explainatory in terms of associations as we found in orange framework. Review collected by and hosted on G2.com.

Rapidminer is an intuitive and easy-to-use tool that lets me create workflows by dragging and dropping operators. It has a wide range of algorithms and plugins for different data techniques and methods. It also has a supportive community and team that offer helpful resources and guidance. Review collected by and hosted on G2.com.

Rapidminer can be slow or freeze with large or complex data sets. It also has limited options for exporting or sharing results with other tools or platforms. Moreover, RapidMiner can be costly for some users who want more advanced features or functionalities. Review collected by and hosted on G2.com.

It is easy to use, versatile, community support AI ML models and visualisation. Review collected by and hosted on G2.com.

Cost, performance with large dataset,exporting limitations. Review collected by and hosted on G2.com.

RapidMiner has the power to take citizen data science to the next level. Instead of python, employees can use RapidMiner's low-code system to create advanced data processing and machine learning models based on their existing datasets. Review collected by and hosted on G2.com.

RapidMiner is not free and open source, while some of the internal code is open source. RapidMiner only allows 10,000 lines in examplesets unless it is a paid version. Review collected by and hosted on G2.com.