Anaconda vs RapidMiner comparison

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Anaconda Logo
2,604 views|1,970 comparisons
94% willing to recommend
RapidMiner Logo
5,535 views|4,463 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

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.
To learn more, read our detailed Anaconda vs. RapidMiner Report (Updated: May 2024).
772,679 professionals have used our research since 2012.
Featured Review
Anonymous User
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The documentation is excellent and the solution has a very large and active community that supports it.""The most advantageous feature is the logic building.""The notebook feature is an improvement over RStudio.""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 best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly.""The solution is stable.""It helped us find find the optimal area for where our warehouse should be located."

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"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.""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 GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model.""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.""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.""Using the GUI, I can have models and algorithms drag and drop nodes.""The data science, collaboration, and IDN are very, very strong."

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Cons
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring.""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.""The solution would benefit from offering more automation.""It also takes up a lot of space.""The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.""Having a small guide or video on the tool would help learn how to use it and what the features are.""I think that the framework can be improved to make it easier for people to discover and use things on their own.""When you install Anaconda for the first time, it's really difficult to update it."

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"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.""A great product but confusing in some way with regard to the user interface and integration with other tools.""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.""Improve the online data services.""It would be helpful to have some tutorials on communicating with Python.""In the Mexican or Latin American market, it's kind of pricey.""One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users."

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Pricing and Cost Advice
  • "The licensing costs for Anaconda are reasonable."
  • "The product is open-source and free to use."
  • "My company uses the free version of the tool. There is also a paid version of the tool available."
  • "The tool is open-source."
  • "Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
  • More Anaconda Pricing and Cost Advice →

  • "I used an educational license for this solution, which is available free of charge."
  • "Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year."
  • "The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."
  • "For the university, the cost of the solution is free for the students and teachers."
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    Questions from the Community
    Top Answer:The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.
    Top Answer:Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks, which can be expensive. It works on all systems and is not subscription-based.
    Top Answer:A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area. Maybe a graphical user interface where we can just… more »
    Top Answer: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… more »
    Top Answer:One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this… more »
    Ranking
    13th
    Views
    2,604
    Comparisons
    1,970
    Reviews
    4
    Average Words per Review
    391
    Rating
    8.8
    6th
    Views
    5,535
    Comparisons
    4,463
    Reviews
    6
    Average Words per Review
    358
    Rating
    8.2
    Comparisons
    KNIME logo
    Compared 50% of the time.
    Alteryx logo
    Compared 12% of the time.
    Dataiku logo
    Compared 11% of the time.
    Tableau logo
    Compared 8% of the time.
    Amazon SageMaker logo
    Compared 1% of the time.
    Learn More
    Overview

    Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

    Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

    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.

    Sample Customers
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
    Top Industries
    REVIEWERS
    Financial Services Firm27%
    Manufacturing Company18%
    Non Tech Company9%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company9%
    Government9%
    Manufacturing Company6%
    REVIEWERS
    University40%
    Educational Organization7%
    Government7%
    Computer Software Company7%
    VISITORS READING REVIEWS
    University11%
    Computer Software Company11%
    Educational Organization10%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business45%
    Midsize Enterprise5%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business48%
    Midsize Enterprise17%
    Large Enterprise35%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise14%
    Large Enterprise66%
    Buyer's Guide
    Anaconda vs. RapidMiner
    May 2024
    Find out what your peers are saying about Anaconda vs. RapidMiner and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    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.

    See our list of best Data Science Platforms vendors.

    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.