Compare IBM Watson Studio vs. Microsoft Azure Machine Learning Studio

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Most Helpful Review
Find out what your peers are saying about IBM Watson Studio vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: November 2020.
447,718 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 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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"The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure.""The most valuable feature is data normalization.""The UI is very user-friendly and that AI is easy to use.""The solution is very fast and simple for a data science solution.""Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills.""The most valuable feature is the knowledge bank, which allows us to ask questions and the AI will automatically pull the pre-prescribed responses.""The AutoML is helpful when you're starting to explore the problem that you're trying to solve.""The interface is very intuitive."

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Cons
"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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"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice.""The data cleaning functionality is something that could be better and needs to be improved.""When you use different Microsoft tools, there are different pricing metrics. It doesn't make sense. The pricing metrics are quire difficult to understand and should be either clarified or simplified. It would help us sell the solution to customers.""The solution should be more customizable. There should be more algorithms.""A problem that I encountered was that I had to pay for the model that I wanted to deploy and use on Azure Machine Learning, but there wasn't any option that that model can be used in the designer.""Integration with social media would be a valuable enhancement.""The AutoML feature is very basic and they should improve it by using a more robust algorithm.""The data preparation capabilities need to be improved."

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Pricing and Cost Advice
Information Not Available
"When we got our first models and were ready for the user acceptance testing, our licensing fees were between €2,500 ($2,750 USD) and €3,000 ($3,300 USD) monthly.""From a developer's perspective, I find the price of this solution high."

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Questions from the Community
Top Answer: It has a lot of data connectors, which is extremely helpful.
Top Answer: It will come down again to cost. Some of the solutions are really good solutions but they can be a little too costly for many. I think a lot of software vendors have considered having special pricing… more »
Top Answer: The initial setup was complex.
Top Answer: Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills.
Top Answer: The pricing and licensing are difficult to explain to clients. Their rationale for what things cost and why are not easy to explain.
Top Answer: I used Azure Machine Learning in a free trial and I had a complete preview of the service. A problem that I encountered was that I had a model that I wanted to deploy and use on Azure Machine… more »
Ranking
10th
Views
5,287
Comparisons
4,235
Reviews
5
Average Words per Review
468
Avg. Rating
8.2
7th
Views
13,467
Comparisons
10,787
Reviews
8
Average Words per Review
500
Avg. Rating
7.5
Popular Comparisons
Compared 5% of the time.
Compared 5% of the time.
Also Known As
Watson Studio, IBM Data Science Experience, Data Science Experience, DSxAzure Machine Learning
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IBM
Microsoft
Overview

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.

Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.

It has everything you need to create complete predictive analytics solutions in the cloud, from a large algorithm library, to a studio for building models, to an easy way to deploy your model as a web service. Quickly create, test, operationalize, and manage predictive models.

Offer
Learn more about IBM Watson Studio
Learn more about Microsoft Azure Machine Learning Studio
Sample Customers
GroupM, Accenture, Fifth Third BankWalgreens Boots Alliance, Schneider Electric, BP
Top Industries
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider19%
Retailer6%
Financial Services Firm5%
VISITORS READING REVIEWS
Computer Software Company30%
Comms Service Provider16%
Insurance Company6%
K 12 Educational Company Or School6%
Company Size
REVIEWERS
Small Business78%
Large Enterprise22%
REVIEWERS
Small Business46%
Midsize Enterprise8%
Large Enterprise46%
Find out what your peers are saying about IBM Watson Studio vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: November 2020.
447,718 professionals have used our research since 2012.
IBM Watson Studio is ranked 10th in Data Science Platforms with 6 reviews while Microsoft Azure Machine Learning Studio is ranked 7th in Data Science Platforms with 10 reviews. IBM Watson Studio is rated 8.2, while Microsoft Azure Machine Learning Studio is rated 7.6. 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". On the other hand, the top reviewer of Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". IBM Watson Studio is most compared with IBM SPSS Modeler, Amazon SageMaker, Dataiku Data Science Studio, Alteryx and Databricks, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Alteryx, Amazon SageMaker, KNIME and Dataiku Data Science Studio. See our IBM Watson Studio vs. Microsoft Azure Machine Learning Studio report.

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