IBM Watson OpenScale vs IBM Watson Studio comparison

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262 views|216 comparisons
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1,786 views|1,182 comparisons
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Executive Summary

We performed a comparison between IBM Watson OpenScale and IBM Watson Studio based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms.
To learn more, read our detailed AI Development Platforms Report (Updated: April 2024).
768,886 professionals have used our research since 2012.
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Here are some excerpts of what they said:
Pricing and Cost Advice
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  • "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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    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
    16th
    Views
    262
    Comparisons
    216
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    7th
    Views
    1,786
    Comparisons
    1,182
    Reviews
    5
    Average Words per Review
    426
    Rating
    8.2
    Comparisons
    Also Known As
    Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
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    IBM
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    IBM
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    Overview

    IBM Watson OpenScale makes it easier for data scientists, application developers, IT and AI operations teams, and business-process owners to collaborate in building, running, and managing production AI. This empowers businesses to confidently integrate machine learning capabilities into their applications and scale seamlessly as the demand for AI grows.

    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
    KPMG
    GroupM, Accenture, Fifth Third Bank
    Top Industries
    No Data Available
    REVIEWERS
    Manufacturing Company22%
    Insurance Company11%
    Marketing Services Firm11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company12%
    Comms Service Provider8%
    Educational Organization8%
    Company Size
    No Data Available
    REVIEWERS
    Small Business71%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    Buyer's Guide
    AI Development Platforms
    April 2024
    Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms. Updated: April 2024.
    768,886 professionals have used our research since 2012.

    IBM Watson OpenScale is ranked 16th in AI Development Platforms while IBM Watson Studio is ranked 7th in AI Development Platforms with 13 reviews. IBM Watson OpenScale is rated 0.0, while IBM Watson Studio is rated 8.2. 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". IBM Watson OpenScale is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Google Vertex AI and Google Cloud AI Platform, whereas IBM Watson Studio is most compared with Databricks, Microsoft Azure Machine Learning Studio, Azure OpenAI, Google Vertex AI and SAS Visual Analytics.

    See our list of best AI Development Platforms vendors.

    We monitor all AI Development 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.