We performed a comparison between Anaconda and RapidMiner based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."
"The solution is stable."
"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages."
"I can use Anaconda for non-heavy tasks."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The notebook feature is an improvement over RStudio."
"The documentation is excellent and the solution has a very large and active community that supports it."
"The most valuable feature is the set of libraries that are used to support the functionality that we require."
"I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries."
"The data science, collaboration, and IDN are very, very strong."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"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."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"The most valuable features are the Binary classification and Auto Model."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"RapidMiner is very easy to use."
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."
"Anaconda can't handle heavy workloads."
"Anaconda should be optimized for RAM consumption."
"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."
"The interface could be improved. Other solutions, like Visual Studio, have much better UI."
"The solution would benefit from offering more automation."
"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."
"When you install Anaconda for the first time, it's really difficult to update it."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"If they could include video tutorials, people would find that quite helpful."
"The price of this solution should be improved."
"I would appreciate improvements in automation and customization options to further streamline processes."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"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."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"It would be helpful to have some tutorials on communicating with Python."
Anaconda is ranked 18th in Data Science Platforms with 14 reviews while RapidMiner is ranked 10th in Data Science Platforms with 19 reviews. Anaconda is rated 7.8, while RapidMiner is rated 8.6. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of RapidMiner writes "Easy to use, robust, and simple to deploy". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and MathWorks Matlab, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Tableau and IBM Watson Studio.
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