Compare Microsoft Azure Machine Learning Studio vs. SAS Visual Analytics

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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."

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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 »
Top Answer: There are platforms available that enable bridge between technologies. Tableau/Qlik is great visualization from performance and user interface as compared to SAS - #askginie.ai
Ranking
4th
Views
15,179
Comparisons
12,033
Reviews
13
Average Words per Review
561
Rating
7.7
Views
11,296
Comparisons
9,660
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
SAS BI
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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.

SAS Business Intelligence package offers business owners an all-in-one tool for data analysis. It is mainly comprised of analytics software that can handle all of the statistical analysis that a company requires. Functions include mining and managing to fetching important information from a variety of sources and even adapting that information, all for the purpose of analyzing the data for future use.

The SAS Business Intelligence software allows users to handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. Users can also create and publish reports based on their findings so that others in their field can share the information and input suggestions. The graphic presentation is another benefit that many businesses find useful when presenting their findings to others.

Offer
Learn more about Microsoft Azure Machine Learning Studio
Learn more about SAS Visual Analytics
Sample Customers
Walgreens Boots Alliance, Schneider Electric, BP
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Top Industries
VISITORS READING REVIEWS
Computer Software Company26%
Comms Service Provider19%
Energy/Utilities Company6%
Manufacturing Company6%
REVIEWERS
Financial Services Firm20%
Retailer10%
Insurance Company10%
Transportation Company10%
VISITORS READING REVIEWS
Computer Software Company25%
Comms Service Provider15%
Government10%
Financial Services Firm9%
Company Size
REVIEWERS
Small Business38%
Midsize Enterprise13%
Large Enterprise50%
REVIEWERS
Small Business33%
Midsize Enterprise11%
Large Enterprise56%
Find out what your peers are saying about Alteryx, Databricks, Knime and others in Data Science Platforms. Updated: June 2021.
509,820 professionals have used our research since 2012.

Microsoft Azure Machine Learning Studio is ranked 4th in Data Science Platforms with 13 reviews while SAS Visual Analytics is ranked 18th in Business Intelligence (BI) Tools. Microsoft Azure Machine Learning Studio is rated 7.6, while SAS Visual 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, Alteryx, IBM Watson Studio, Amazon SageMaker and Amazon Comprehend, whereas SAS Visual Analytics is most compared with Tableau, Microsoft BI, Qlik Sense, Databricks and QlikView.

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