Anaconda vs Yellowfin comparison

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Anaconda Logo
2,704 views|2,040 comparisons
94% willing to recommend
Yellowfin Logo
273 views|213 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Anaconda and Yellowfin 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).
769,789 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code.""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 most advantageous feature is the logic building.""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.""The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly.""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 virtual environment is very good."

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"It is a central source of up-to-date data and information.""It reduces time to reproduce reports, provides easy access to organisational data, and has the ability to generate a wide range of reports and analysis.""It is able to create information dashboards for various users' throughout."

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Cons
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users.""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.""The interface could be improved. Other solutions, like Visual Studio, have much better UI.""Anaconda should be optimized for RAM consumption.""The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.""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.""I think that the framework can be improved to make it easier for people to discover and use things on their own."

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"It needs more presentation/charting capabilities and integration with GIS."

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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
    2,704
    Comparisons
    2,040
    Reviews
    2
    Average Words per Review
    457
    Rating
    8.0
    Views
    273
    Comparisons
    213
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
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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

    Yellowfin offers a business intelligence (BI) platform that allows users to interact with big data in a variety of ways. Yellowfin works to provide big data access to companies of all sizes, from small business to billion-dollar enterprises. It is designed for providing data quickly and allowing users to filter for specific results, maximizing gain from big data. Yellowfin has a variety of dashboards so the user can filter, drill to detail, and have data analysis in the same browser. The data can also be easily shared with others via email, wiki embed, and reports. There is a mobile app as well, which works automatically with the desktop dashboards to allow users to access their data on the go, and alerts can be set up to notify a user via email or push to a mobile device if the data is indicating a critical event taking place. Yellowfin also can map data to locations, providing not only the what of data, but also the where. Lancashire Care NHS Foundation Trust provides its community in England with mental health and community care services. Using Yellowfin's mobile business intelligence capabilities to deliver reporting and analytics to approximately 6000 clinicians, Lancashire Care NHS Foundation Trust was able to greatly improve the quality of its patient care. Yellowfin allowed the Trust to access and share independent data from mobile devices as well as create a Balanced Scoreboard to quickly gather and report information on the company's performance to its executives, management, and directors.
    Sample Customers
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    NCS, Universitat Konstanz, AT&T, PG&E, SingTel, InternetStores
    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%
    VISITORS READING REVIEWS
    Computer Software Company28%
    Government9%
    Financial Services Firm8%
    Insurance Company6%
    Company Size
    REVIEWERS
    Small Business42%
    Midsize Enterprise5%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business37%
    Midsize Enterprise20%
    Large Enterprise43%
    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.
    769,789 professionals have used our research since 2012.

    Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Yellowfin is ranked 36th in BI (Business Intelligence) Tools. Anaconda is rated 7.8, while Yellowfin 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 Yellowfin writes "Very scalable design and easy to implement. It can reside alongside more complex enterprise systems". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Yellowfin is most compared with Microsoft Power BI, Apache Superset, 9 Spokes and Tableau.

    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.