Domino Data Science Platform vs IBM Watson Studio comparison

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Domino Data Lab Logo
2,664 views|2,314 comparisons
100% willing to recommend
IBM Logo
3,203 views|2,111 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Domino Data Science Platform 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: May 2024).
772,567 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 scalability of the solution is good; I'd rate it four out of five."

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"The scalability of IBM Watson Studio is great.""It has greatly improved the performance because it is standardized across the company.""It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements.""The system's ability to take a look at data, segment it and then use that data very differently.""It is a very stable and reliable solution.""IBM Watson Studio consistently automates across channels.""Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic.""It is a stable, reliable product."

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Cons
"The predictive analysis feature needs improvement."

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"Some of the solutions are really good solutions but they can be a little too costly for many.""The main challenge lies in visibility and ease of use.""The decision making in their decision making feature is less good than other options.""I want IBM's technical support team to provide more specific answers to queries.""The initial setup was complex.""The solution's interface is very slow at times.""So a better user interface could be very helpful""I think maybe the support is an area where it lacks."

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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
    19th
    Views
    2,664
    Comparisons
    2,314
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    10th
    Views
    3,203
    Comparisons
    2,111
    Reviews
    5
    Average Words per Review
    426
    Rating
    8.2
    Comparisons
    Also Known As
    Domino Data Lab Platform
    Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
    Learn More
    Domino Data Lab
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    IBM
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    Overview

    Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

    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
    Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
    GroupM, Accenture, Fifth Third Bank
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Manufacturing Company10%
    Insurance Company10%
    Computer Software Company8%
    REVIEWERS
    Manufacturing Company22%
    Insurance Company11%
    Marketing Services Firm11%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company12%
    Manufacturing Company8%
    Educational Organization7%
    Company Size
    VISITORS READING REVIEWS
    Small Business8%
    Midsize Enterprise7%
    Large Enterprise85%
    REVIEWERS
    Small Business71%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise13%
    Large Enterprise66%
    Buyer's Guide
    Data Science Platforms
    May 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: May 2024.
    772,567 professionals have used our research since 2012.

    Domino Data Science Platform is ranked 19th in Data Science Platforms while IBM Watson Studio is ranked 10th in Data Science Platforms with 13 reviews. Domino Data Science Platform is rated 7.0, while IBM Watson Studio is rated 8.2. The top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". 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". Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku and Google Cloud Datalab, whereas IBM Watson Studio is most compared with Databricks, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and Amazon Comprehend.

    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.