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Compare IBM Watson Studio vs. Microsoft Azure Machine Learning Studio

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Featured Review
Find out what your peers are saying about IBM Watson Studio vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: November 2021.
552,407 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 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.""IBM Watson Studio consistently automates across channels.""The system's ability to take a look at data, segment it and then use that data very differently.""The scalability of IBM Watson Studio is great.""It has a lot of data connectors, which is extremely helpful."

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"Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills.""It's good for citizen data scientists, but also, other people can use Python or .NET code.""The solution is very easy to use, so far as our data scientists are concerned.""The solution is easy to use and has good automation capabilities in conjunction with Azure DevOps.""The most valuable feature is data normalization.""The ability to do the templating and be able to transfer it so that I can easily do multiple types of models and data mining is a valuable aspect of this solution. You only have to set up the flows, the templates, and the data once and then you can make modifications and test different segmentations throughout.""Azure Machine Learning Studio's most valuable features are the package from Azure AutoML. It is quite powerful compared to the building of ML in Databricks or other AutoMLs from other companies, such as Google and Amazon.""It's a great option if you are fairly new and don't want to write too much code."

More Microsoft Azure Machine Learning Studio Pros »

Cons
"Some of the solutions are really good solutions but they can be a little too costly for many.""The decision making in their decision making feature is less good than other options.""The initial setup was complex.""So a better user interface could be very helpful""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."

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"It would be nice if the product offered more accessibility in general.""They should have a desktop version to work on the platform.""Integration with social media would be a valuable enhancement.""The data preparation capabilities need to be improved.""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.""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 AutoML feature is very basic and they should improve it by using a more robust algorithm.""I have found Databricks is a better solution because it has a lot of different cluster choices and better integration with MLflow, which is much easier to handle in a machine learning system."

More Microsoft Azure Machine Learning Studio Cons »

Pricing and Cost Advice
Information Not Available
"From a developer's perspective, I find the price of this solution high.""There is a license required for this solution.""The licensing cost is very cheap. It's less than $50 a month.""I am paying for it following a pay-as-you-go. So, the more I use it, the more it costs."

More Microsoft Azure Machine Learning Studio Pricing and Cost Advice »

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Questions from the Community
Top Answer: We are looking to automate (parts of) our budgeting and financial forecasting cycle
Top Answer: Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
Top Answer: The initial setup is very simple and straightforward.
Top Answer: The licensing cost is very cheap. It's less than $50 a month would costs for multiple users.
Ranking
12th
Views
5,409
Comparisons
4,302
Reviews
5
Average Words per Review
468
Rating
8.2
4th
Views
16,071
Comparisons
12,804
Reviews
16
Average Words per Review
507
Rating
7.7
Comparisons
Also Known As
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
Azure Machine Learning, MS Azure Machine Learning Studio
Learn More
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 Bank
Walgreens Boots Alliance, Schneider Electric, BP
Top Industries
VISITORS READING REVIEWS
Comms Service Provider24%
Computer Software Company21%
Educational Organization8%
Financial Services Firm6%
REVIEWERS
Financial Services Firm14%
Recruiting/Hr Firm14%
Computer Software Company14%
Energy/Utilities Company14%
VISITORS READING REVIEWS
Computer Software Company24%
Comms Service Provider18%
Energy/Utilities Company6%
Manufacturing Company6%
Company Size
REVIEWERS
Small Business78%
Large Enterprise22%
REVIEWERS
Small Business30%
Midsize Enterprise10%
Large Enterprise60%
Find out what your peers are saying about IBM Watson Studio vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: November 2021.
552,407 professionals have used our research since 2012.

IBM Watson Studio is ranked 12th in Data Science Platforms with 5 reviews while Microsoft Azure Machine Learning Studio is ranked 4th in Data Science Platforms with 16 reviews. IBM Watson Studio is rated 8.2, while Microsoft Azure Machine Learning Studio is rated 7.8. 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 "Has the ability to do templating and transfer it so that we can do multiple types of models and data mining". IBM Watson Studio is most compared with IBM SPSS Modeler, Google Cloud Datalab, Amazon SageMaker, Databricks and Anaconda, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Dataiku Data Science Studio, Alteryx, Amazon SageMaker and KNIME. See our IBM Watson Studio vs. Microsoft Azure Machine Learning Studio report.

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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.