Compare Domino Data Science Platform vs. IBM Watson Studio

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Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: June 2021.
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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 solution is very easy to use.""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.""The scalability of IBM Watson Studio is great.""The system's ability to take a look at data, segment it and then use that data very differently.""IBM Watson Studio consistently automates across channels.""It has a lot of data connectors, which is extremely helpful."

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Cons
"The predictive analysis feature needs improvement."

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"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier.""So a better user interface could be very helpful""The decision making in their decision making feature is less good than other options.""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.""Some of the solutions are really good solutions but they can be a little too costly for many.""The initial setup was complex."

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Top Answer: We are looking to automate (parts of) our budgeting and financial forecasting cycle
Ranking
20th
Views
3,821
Comparisons
2,944
Reviews
1
Average Words per Review
164
Rating
7.0
11th
Views
5,554
Comparisons
4,428
Reviews
5
Average Words per Review
468
Rating
8.2
Popular Comparisons
Also Known As
Domino Data Lab Platform
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
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Domino Data Lab
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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.

Offer
Learn more about Domino Data Science Platform
Learn more about IBM Watson Studio
Sample Customers
Allstate, Tesla, Dell, Moody's Analytics, SurveyMonkey, Eventbrite, Carnival
GroupM, Accenture, Fifth Third Bank
Top Industries
VISITORS READING REVIEWS
Computer Software Company23%
Financial Services Firm15%
Manufacturing Company10%
Insurance Company9%
VISITORS READING REVIEWS
Computer Software Company24%
Comms Service Provider23%
Educational Organization6%
Financial Services Firm6%
Company Size
No Data Available
REVIEWERS
Small Business78%
Large Enterprise22%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: June 2021.
510,534 professionals have used our research since 2012.

Domino Data Science Platform is ranked 20th in Data Science Platforms with 1 review while IBM Watson Studio is ranked 11th in Data Science Platforms with 6 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 "Machine learning that can be applicable for other data sets without having to carry out the process all over again". Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Alteryx, Dataiku Data Science Studio and Dremio, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Amazon SageMaker, Google Cloud Datalab and Databricks.

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