Anaconda vs MathWorks Matlab comparison

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2,965 views|2,207 comparisons
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1,056 views|829 comparisons
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Executive Summary

We performed a comparison between Anaconda and MathWorks Matlab 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.
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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
"The most valuable feature is the set of libraries that are used to support the functionality that we require.""The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code.""The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly.""I can use Anaconda for non-heavy tasks.""It helped us find find the optimal area for where our warehouse should be located.""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.""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."

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"Personally for me, because I do a lot of development, I like that it is easy to test mathematical algorithms with several matrix calculations. It's perfect for that."

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Cons
"Having a small guide or video on the tool would help learn how to use it and what the features are.""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.""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.""The solution would benefit from offering more automation.""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.""When you install Anaconda for the first time, it's really difficult to update it.""The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."

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"To make use of the GPU, you have to have an Nvidia card. What I would want it to do is to run in Next Generation with Intel or AMD, and not just with Nvidia."

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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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  • "We have a single user license. Support and add-ons are an extra fee."
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    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

    Sample Customers
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    Information Not Available
    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%
    VISITORS READING REVIEWS
    University12%
    Educational Organization11%
    Computer Software Company10%
    Financial Services Firm10%
    Company Size
    REVIEWERS
    Small Business39%
    Midsize Enterprise6%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise10%
    Large Enterprise68%
    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 MathWorks Matlab is ranked 22nd in Data Science Platforms. Anaconda is rated 7.8, while MathWorks Matlab is rated 8.0. 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 MathWorks Matlab writes "Test run my algorithms with ease before I develop the full software application". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and Tableau, whereas MathWorks Matlab is most compared with IBM SPSS Statistics, Databricks, Microsoft Azure Machine Learning Studio, TIBCO Data Science and Amazon SageMaker.

    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.