Compare Microsoft Azure Machine Learning Studio vs. TensorFlow

Microsoft Azure Machine Learning Studio is ranked 1st in AI Development Platforms with 8 reviews while TensorFlow is ranked 2nd in AI Development Platforms. Microsoft Azure Machine Learning Studio is rated 7.2, while TensorFlow is rated 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 and Amazon SageMaker, whereas TensorFlow is most compared with Microsoft Azure Machine Learning Studio, Wit.ai and Caffe.
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Quotes From Members

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Pricing and Cost Advice
From a developer's perspective, I find the price of this solution high.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.To use MLS is fairly cheap. Even the paid account is something like $20/month, unless you are provisioning large numbers of VMs for a Hadoop cluster. The main MS makes money with this solution is forcing the user to deploy their model on REST API, and being charged each time the API is accessed. There are several pricing tiers for the API. If you do not use the API, then value of MLS is to create rapid experiments ($20/month). The resulting model is not exportable to use, thus you’ll have to recreate the algorithms in either R or Python, which is what I did. MLS results gave me a direction to work with, the actual work is mostly done in R and Python outside of MLS.

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Ranking
Views
9,703
Comparisons
8,066
Reviews
8
Average Words per Review
479
Avg. Rating
7.3
Views
465
Comparisons
407
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 31% of the time.
Compared 18% of the time.
Also Known As
Azure Machine Learning
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TensorFlow
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.

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.

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Sample Customers
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Airbnb, NVIDIA, Twitter, Google, Dropbox, Intel, SAP, eBay, Uber, Coca-Cola, Qualcomm
Top Industries
VISITORS READING REVIEWS
Software R&D Company31%
Comms Service Provider18%
Manufacturing Company6%
Media Company5%
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