Anaconda vs Google Data Studio comparison

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2,965 views|2,207 comparisons
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1,763 views|1,938 comparisons
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Executive Summary

We performed a comparison between Anaconda and Google Data Studio 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).
763,955 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
"I can use Anaconda for non-heavy tasks.""The solution is stable.""It helped us find find the optimal area for where our warehouse should be located.""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.""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 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.""The virtual environment is very good."

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"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like.""This has improved our organization by allowing people to see their data and develop visualizations themselves.""The ability to design complex data models and equations.""I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts.""The ability to integrate with a great variety of data sources.""The solution is free so that is a good feature.""I find it favorable regarding speed of development, ease of building, and flexibility.""Valuable features include advanced integrated analysis and easy implementation."

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Cons
"The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.""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.""The interface could be improved. Other solutions, like Visual Studio, have much better UI.""Anaconda can't handle heavy workloads.""Anaconda should be optimized for RAM consumption.""The solution would benefit from offering more automation.""I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."

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"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful.""Panels are not as easy to use as other data extraction UIs.""There are issues with integration and I encountered limits and warnings, especially with my pivot table size.""There is a significant degree of sophistication required to compete with Tableau or Cognos.""Stability and scalability an be improved for a full ten.""It's not yet a replacement for a complete BI tool.""The tool should come up with data modeling layer features that are present in other products like Power BI.""When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements."

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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."
  • More Anaconda Pricing and Cost Advice →

  • "The tool is free."
  • "The solution is free but the Google Looker is expensive."
  • "The cost is quite affordable based on feature analysis."
  • More Google Data Studio Pricing and Cost Advice →

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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 find it favorable regarding speed of development, ease of building, and flexibility.
    Top Answer:The potential challenge, especially when considering a larger user base, is that the expenses can significantly add up. There are issues with integration and I encountered limits and warnings… more »
    Top Answer:By integrating Data Studio into our services, we not only provide added value to our existing customers but also ensure stability in traffic and minimize the cost of sales. This strategic move allows… more »
    Ranking
    18th
    Views
    2,965
    Comparisons
    2,207
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    14th
    out of 50 in Reporting
    Views
    1,763
    Comparisons
    1,938
    Reviews
    4
    Average Words per Review
    370
    Rating
    7.5
    Comparisons
    Also Known As
    Data Studio
    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

    Google Data Studio (beta) turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable. Dashboarding allows you to tell great data stories to support better business decisions.

    Sample Customers
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    Genesys, Shueisha
    Top Industries
    REVIEWERS
    Financial Services Firm27%
    Manufacturing Company18%
    Non Tech Company9%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company11%
    Government10%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Manufacturing Company11%
    Financial Services Firm10%
    Educational Organization7%
    Company Size
    REVIEWERS
    Small Business41%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business43%
    Midsize Enterprise29%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise15%
    Large Enterprise61%
    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.
    763,955 professionals have used our research since 2012.

    Anaconda is ranked 18th in Data Science Platforms with 1 review while Google Data Studio is ranked 14th in Reporting with 4 reviews. Anaconda is rated 7.8, while Google Data Studio is rated 7.8. 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 Google Data Studio writes " An intuitive and cost-effective business intelligence solution empowering users with versatile data visualization". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Google Data Studio is most compared with Amazon QuickSight, Tableau, Looker, Microsoft Power BI and Databricks.

    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.