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Darwin vs IBM Watson Studio comparison

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Darwin Logo
649 views|220 comparisons
IBM Watson Studio Logo
5,414 views|4,343 comparisons
Featured Review
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2022.
563,208 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The key feature is the automated model-building. It has a good UI that will let people who aren't data scientists get in there and upload datasets and actually start building models, with very little training. They don't need to have any understanding of data science."

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"It has a lot of data connectors, which is extremely helpful.""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."

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Cons
"There's always room for improvement in the UI and continuing to evolve it to do everything that the rest of AI can do."

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"The initial setup was complex.""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."

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Top Answer: 
We are looking to automate (parts of) our budgeting and financial forecasting cycle
Ranking
13th
Views
649
Comparisons
220
Reviews
1
Average Words per Review
3,064
Rating
10.0
12th
Views
5,414
Comparisons
4,343
Reviews
2
Average Words per Review
551
Rating
8.5
Comparisons
Also Known As
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
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Overview

SparkCognition builds leading artificial intelligence solutions to advance the most important interests of society. We help customers analyze complex data, empower decision making, and transform human and industrial productivity with award-winning machine learning technology and expert teams focused on defense, IIoT, and finance.

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 Darwin
Learn more about IBM Watson Studio
Sample Customers
Hunt Oil, Hitachi High-Tech Solutions
GroupM, Accenture, Fifth Third Bank
Top Industries
VISITORS READING REVIEWS
Comms Service Provider26%
Manufacturing Company14%
Computer Software Company11%
Financial Services Firm8%
VISITORS READING REVIEWS
Comms Service Provider24%
Computer Software Company21%
Educational Organization7%
Government6%
Company Size
REVIEWERS
Small Business75%
Large Enterprise25%
REVIEWERS
Small Business78%
Large Enterprise22%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: January 2022.
563,208 professionals have used our research since 2012.

Darwin is ranked 13th in Data Science Platforms with 1 review while IBM Watson Studio is ranked 12th in Data Science Platforms with 3 reviews. Darwin is rated 10.0, while IBM Watson Studio is rated 8.6. The top reviewer of Darwin writes "Empowers SMEs to build solutions and interface them with the existing business systems, products and workflows". 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". Darwin is most compared with Microsoft Azure Machine Learning Studio and H2O.ai, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Google Cloud Datalab, Amazon SageMaker and Databricks.

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.