We performed a comparison between Anaconda and RapidMiner based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is the set of libraries that are used to support the functionality that we require."
"It helped us find find the optimal area for where our warehouse should be located."
"The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly."
"The virtual environment is very good."
"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."
"The solution is stable."
"The notebook feature is an improvement over RStudio."
"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 most valuable feature is what the product sets out to do, which is extracting information and data."
"The best part of RapidMiner is efficiency."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"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."
"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."
"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 most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"When you install Anaconda for the first time, it's really difficult to update it."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area."
"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."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known."
"I would appreciate improvements in automation and customization options to further streamline processes."
"The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade."
"I would like to see more integration capabilities."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"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."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"RapidMiner can improve deep learning by enhancing the features."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
Anaconda is ranked 13th in Data Science Platforms with 17 reviews while RapidMiner is ranked 6th in Data Science Platforms with 20 reviews. Anaconda is rated 8.0, 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 "A no-code tool that helps to build machine learning models ". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and KNIME, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and Amazon SageMaker. See our Anaconda vs. RapidMiner report.
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We monitor all Data Science Platforms 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.
