Anaconda vs Birst comparison

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Anaconda Logo
2,704 views|2,040 comparisons
94% willing to recommend
Infor Logo
202 views|146 comparisons
76% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Anaconda and Birst 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).
769,599 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 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 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 best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly.""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 virtual environment is very good.""I can use Anaconda for non-heavy tasks.""It helped us find find the optimal area for where our warehouse should be located."

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"Dashboards and self-service reports. These are widely used by customers in the EPM domain."

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Cons
"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.""Anaconda can't handle heavy workloads.""Having a small guide or video on the tool would help learn how to use it and what the features are.""Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring.""The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.""Anaconda should be optimized for RAM consumption.""I think better documentation or a step-by-step guide for installation would help, especially for on-premise users.""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."

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"Customer support takes lot of time to get a solution."

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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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  • "Please negotiate on the price and purchase the latest version."
  • More Birst 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
    2,704
    Comparisons
    2,040
    Reviews
    2
    Average Words per Review
    457
    Rating
    8.0
    32nd
    out of 50 in Reporting
    Views
    202
    Comparisons
    146
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Microsoft Power BI logo
    Compared 36% of the time.
    ThoughtSpot logo
    Compared 33% of the time.
    Alteryx logo
    Compared 31% of the time.
    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

    Birst Networked BI and Analytics eliminates information silos. Decentralized users can augment the enterprise data model virtually, as opposed to physically, without compromising data governance.

    A unified semantic layer maintains common definitions and key metrics.
    Birst’s two-tier architecture aligns back-end sources with line-of-business or local data. Birst’s Automated Data Refinement extracts data from any source into a unified semantic layer. Users are enabled with self-service analytics through executive dashboards, reporting, visual discovery, mobile tools, and predictive analytics. Birst Open Client Interface also offers integration with Tableau, Excel and R.

    Birst goes to market in two primary ways: as a direct sale, for enterprises using Birst on internal data to manage their business; and embedded, for companies who offer analytic products, by embedding and white-labeling Birst capabilities into their products.

    Birst’s is packaged in 3 available formats: Platform and per-user fee; by Department or Business Unit; by end-customer (for embedded scenarios).

    Sample Customers
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    Citrix Systems, Jive Software, SunnyD, Toshiba Medical Systems, Cisco OpenDNS, RB, Sunny D, Vertafore
    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%
    REVIEWERS
    Healthcare Company25%
    Retailer17%
    Logistics Company8%
    Insurance Company8%
    Company Size
    REVIEWERS
    Small Business42%
    Midsize Enterprise5%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business14%
    Midsize Enterprise33%
    Large Enterprise52%
    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.
    769,599 professionals have used our research since 2012.

    Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Birst is ranked 32nd in Reporting. Anaconda is rated 7.8, while Birst is rated 7.4. 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 Birst writes "The dashboards and Visualizer are valuable". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Birst is most compared with Microsoft Power BI, ThoughtSpot and Alteryx.

    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.