Compare Google Cloud Datalab vs. Microsoft Azure Machine Learning Studio

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Most Helpful Review
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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
"All of the features of this product are quite good."

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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."

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Cons
"The interface should be more user-friendly."

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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."

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Pricing and Cost Advice
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"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."

More Microsoft Azure Machine Learning Studio Pricing and Cost Advice »

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Questions from the Community
Top Answer: All of the features of this product are quite good.
Top Answer: The interface should be more user-friendly. The security should be easier to set up. TensorBoard is available but it is hard to use.
Top Answer: We are using this solution to help manage personnel and to see if everyone is in the right place.
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
19th
Views
2,464
Comparisons
2,167
Reviews
1
Average Words per Review
303
Avg. Rating
8.0
7th
Views
13,111
Comparisons
10,528
Reviews
6
Average Words per Review
554
Avg. Rating
7.3
Popular Comparisons
Compared 41% of the time.
Compared 7% of the time.
Also Known As
Azure Machine Learning
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Google
Microsoft
Overview

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

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 Google Cloud Datalab
Learn more about Microsoft Azure Machine Learning Studio
Sample Customers
Information Not Available
Walgreens Boots Alliance, Schneider Electric, BP
Top Industries
VISITORS READING REVIEWS
Computer Software Company38%
Comms Service Provider19%
Retailer8%
Media Company6%
VISITORS READING REVIEWS
Computer Software Company34%
Comms Service Provider13%
K 12 Educational Company Or School6%
Media Company5%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: October 2020.
441,672 professionals have used our research since 2012.
Google Cloud Datalab is ranked 19th in Data Science Platforms with 1 review while Microsoft Azure Machine Learning Studio is ranked 7th in Data Science Platforms with 6 reviews. Google Cloud Datalab is rated 8.0, while Microsoft Azure Machine Learning Studio is rated 7.4. The top reviewer of Google Cloud Datalab writes "Stable, feature-rich, and easy to set up". 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". Google Cloud Datalab is most compared with Databricks, Amazon SageMaker, KNIME, MathWorks Matlab and IBM Watson Studio, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Alteryx, Amazon SageMaker, IBM Watson Studio and KNIME.

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