Anaconda vs IBM Watson Studio comparison

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2,965 views|2,207 comparisons
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3,554 views|2,387 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Anaconda and IBM Watson 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 virtual environment is very good.""The documentation is excellent and the solution has a very large and active community that supports it.""The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly.""The most valuable feature is the set of libraries that are used to support the functionality that we require.""The most advantageous feature is the logic building.""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.""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."

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"It is a stable, reliable product.""Stability-wise, it is a great tool.""For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks.""Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic.""The scalability of IBM Watson Studio is great.""The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video.""IBM Watson Studio consistently automates across channels.""The solution is very easy to use."

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Cons
"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.""When you install Anaconda for the first time, it's really difficult to update it.""Anaconda can't handle heavy workloads.""I think that the framework can be improved to make it easier for people to discover and use things on their own.""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.""The solution would benefit from offering more automation."

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"It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs.""The main challenge lies in visibility and ease of use.""We would like to see it more web-based with more functionality.""So a better user interface could be very helpful""We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers.""I want IBM's technical support team to provide more specific answers to queries.""The decision making in their decision making feature is less good than other options.""More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."

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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 →

  • "Watson Studio's pricing is reasonable for what you get."
  • "IBM Watson Studio is a reasonably priced product"
  • "IBM Watson Studio is an expensive solution."
  • "The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."
  • More IBM Watson 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:From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment are separated, then it would be good. I would like them to be one and offer users a… more »
    Ranking
    18th
    Views
    2,965
    Comparisons
    2,207
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    9th
    Views
    3,554
    Comparisons
    2,387
    Reviews
    5
    Average Words per Review
    426
    Rating
    8.2
    Comparisons
    Also Known As
    Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
    Learn More
    IBM
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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

    IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

    Sample Customers
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    GroupM, Accenture, Fifth Third Bank
    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%
    REVIEWERS
    Manufacturing Company22%
    Insurance Company11%
    Marketing Services Firm11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company12%
    Educational Organization8%
    Comms Service Provider7%
    Company Size
    REVIEWERS
    Small Business41%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business71%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    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 IBM Watson Studio is ranked 9th in Data Science Platforms with 5 reviews. Anaconda is rated 7.8, while IBM Watson Studio is rated 8.2. 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 IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and RapidMiner, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, Databricks, Azure OpenAI, Google Vertex AI and IBM SPSS Statistics.

    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.