Anaconda vs RapidMiner comparison

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2,965 views|2,207 comparisons
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5,712 views|4,582 comparisons
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Executive Summary

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.
To learn more, read our detailed Data Science Platforms Report (Updated: March 2024).
765,386 professionals have used our research since 2012.
Featured Review
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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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."

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"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."

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Cons
"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."

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"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."

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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."
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  • "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:Pricing is a matter of open source versus proprietary. Anaconda is open source and openly publishes their pricing models. RapidMiner is proprietary and you must receive a quote depending on your use… more »
    Top Answer:I've been using a lot of components from the Strategic Extension and Python Extension.
    Top Answer:I would like to see more integration capabilities.
    Ranking
    18th
    Views
    2,965
    Comparisons
    2,207
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    10th
    Views
    5,712
    Comparisons
    4,582
    Reviews
    4
    Average Words per Review
    344
    Rating
    8.3
    Comparisons
    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 Company10%
    Government10%
    Manufacturing Company6%
    REVIEWERS
    University46%
    Energy/Utilities Company8%
    Educational Organization8%
    Engineering Company8%
    VISITORS READING REVIEWS
    University11%
    Computer Software Company11%
    Educational Organization10%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business39%
    Midsize Enterprise6%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business50%
    Midsize Enterprise20%
    Large Enterprise30%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise67%
    Buyer's Guide
    Data Science Platforms
    March 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    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.

    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.