Anaconda vs Domino Data Science Platform comparison

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Anaconda Logo
2,799 views|2,094 comparisons
94% willing to recommend
Domino Data Lab Logo
2,713 views|2,334 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Anaconda and Domino Data Science Platform 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: April 2024).
768,740 professionals have used our research since 2012.
Featured Review
Anonymous User
Syed-Hussain
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution is stable.""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 product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code.""The most valuable feature is the set of libraries that are used to support the functionality that we require.""I can use Anaconda for non-heavy tasks.""The documentation is excellent and the solution has a very large and active community that supports it.""The notebook feature is an improvement over RStudio.""The most advantageous feature is the logic building."

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"The scalability of the solution is good; I'd rate it four out of five."

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Cons
"Anaconda can't handle heavy workloads.""The solution would benefit from offering more automation.""The interface could be improved. Other solutions, like Visual Studio, have much better UI.""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.""Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring.""I think better documentation or a step-by-step guide for installation would help, especially for on-premise users.""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.""When you install Anaconda for the first time, it's really difficult to update it."

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"The predictive analysis feature needs improvement."

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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."
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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 could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring.
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    Ranking
    13th
    Views
    2,799
    Comparisons
    2,094
    Reviews
    1
    Average Words per Review
    614
    Rating
    8.0
    18th
    Views
    2,713
    Comparisons
    2,334
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Domino Data Lab Platform
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    Domino Data Lab
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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

    Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

    Sample Customers
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
    Top Industries
    REVIEWERS
    Financial Services Firm27%
    Manufacturing Company18%
    Non Tech Company9%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company10%
    Government9%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Insurance Company11%
    Manufacturing Company10%
    Computer Software Company8%
    Company Size
    REVIEWERS
    Small Business42%
    Midsize Enterprise5%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise7%
    Large Enterprise85%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    768,740 professionals have used our research since 2012.

    Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Domino Data Science Platform is ranked 18th in Data Science Platforms. Anaconda is rated 7.8, while Domino Data Science Platform is rated 7.0. 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 Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and RapidMiner, whereas Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and SAS Visual Analytics.

    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.