Anaconda vs Salesforce Einstein Discovery [EOL] comparison

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2,799 views|2,094 comparisons
94% willing to recommend
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Executive Summary

We performed a comparison between Anaconda and Salesforce Einstein Discovery [EOL] 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).
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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."
  • More Anaconda Pricing and Cost Advice →

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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
    Unranked
    In Data Science Platforms
    Comparisons
    Also Known As
    Einstein Discovery, Salesforce Analytics Cloud Smart Data Discovery, BeyondCore
    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

    Einstein Discovery quickly analyzes large amounts of data to explain causes as well as suggesting fixes while predicting what will happen if no changes are made.

    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%
    Government9%
    Manufacturing Company6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business42%
    Midsize Enterprise5%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise68%
    No Data Available
    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.
    768,246 professionals have used our research since 2012.

    Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Salesforce Einstein Discovery [EOL] doesn't meet the minimum requirements to be ranked in Data Science Platforms. Anaconda is rated 7.8, while Salesforce Einstein Discovery [EOL] is rated 0.0. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Salesforce Einstein Discovery [EOL] is most compared with .

    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.