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Pricing and Cost Advice
"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.""The licensing cost is very cheap. It's less than $50 a month.""There is a license required for this solution.""I am paying for it following a pay-as-you-go. So, the more I use it, the more it costs."

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Questions from the Community
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.
Top Answer: It's the first software that I've used in terms of machine learning. Therefore, I don't have anything to compare it to, however, it was okay for me. I didn't have any problems or anything. Maybe it… more »
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Ranking
4th
Views
15,603
Comparisons
12,337
Reviews
15
Average Words per Review
539
Rating
7.6
26th
Views
422
Comparisons
345
Reviews
0
Average Words per Review
0
Rating
N/A
Popular Comparisons
Also Known As
Azure Machine Learning, MS Azure Machine Learning Studio, MS Azure Machine Learning Studio, MS Azure Machine Learning Studio
World Programming System, WPS
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Overview

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.

WPS is used in production on a huge range of systems at sites around the world. Thousands of analysts are using WPS in their daily data processing and analysis tasks, and thousands more rely on the heavy-lifting ability of WPS overnight and scheduled processing to deliver the information they require. Customers are able to choose to run WPS software on IBM z/OS Mainframes, servers and workstations running UNIX, Linux, Solaris, AIX, macOS and the full range of Microsoft Windows operating systems to fit in with existing or planned infrastructure.

Offer
Learn more about Microsoft Azure Machine Learning Studio
Learn more about WPS Analytics
Sample Customers
Walgreens Boots Alliance, Schneider Electric, BP
Information Not Available
Top Industries
REVIEWERS
Financial Services Firm14%
Recruiting/Hr Firm14%
Computer Software Company14%
Energy/Utilities Company14%
VISITORS READING REVIEWS
Computer Software Company25%
Comms Service Provider18%
Manufacturing Company6%
Energy/Utilities Company6%
VISITORS READING REVIEWS
Financial Services Firm23%
Computer Software Company23%
Insurance Company13%
Comms Service Provider8%
Company Size
REVIEWERS
Small Business32%
Midsize Enterprise11%
Large Enterprise58%
No Data Available
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: July 2021.
523,975 professionals have used our research since 2012.

Microsoft Azure Machine Learning Studio is ranked 4th in Data Science Platforms with 16 reviews while WPS Analytics is ranked 26th in Data Science Platforms. Microsoft Azure Machine Learning Studio is rated 7.6, while WPS Analytics is rated 0.0. The top reviewer of Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". On the other hand, Microsoft Azure Machine Learning Studio is most compared with Databricks, IBM Watson Studio, Dataiku Data Science Studio, Alteryx and Amazon SageMaker, whereas WPS Analytics is most compared with SAS Visual Analytics, Alteryx, SAS Visual Data Mining and Machine Learning, Databricks and IBM SPSS Statistics.

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