Microsoft Azure Machine Learning Studio Competitors and Alternatives

Read reviews of Microsoft Azure Machine Learning Studio competitors and alternatives
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Ed dallal li?1425565817
Real User
Founder, Chief Executive Officer (CEO) & President (company of 1) at a software R&D company with 51-200 employees
Jan 18 2017

What do you think of Alteryx?

Valuable Features Data Blending and Predictive Analytics: Alteryx is very intuitive and you don’t need to know how to write code to use Alteryx. • Improvements to My Organization It helped us reduce time blending data from multiple sources into one file. Our analyst’s time was cut from two days to one hour of data blending and the output was amazing! And we could map out file-run predictive analytics in the same tool. • Room for Improvement Visualization: There is room to improve here. • Use of Solution I have used it for two years; this is our third year using Alteryx Designer. • Stability Issues I did not encounter any stability issues. • Scalability Issues I did not encounter any scalability issues. • Customer Service and Technical Support I haven’t...
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0020bcba c9db 490f bfd1 42278c01d564 avatar
Real User
Partner, Turkey and The Netherlands at a tech vendor with 201-500 employees
Dec 23 2017

What is most valuable?

* Easy ETL operations * Rich algorithm set * Integrated with other languages like R, Python, and Java. * Works together with other technologies like DeepLearning4j,, D3.js, and Weka. * Ease of use and being a performant solution. *... more»

How has it helped my organization?

My organization's field of activity is to develop business applications for niche areas. Almost three years ago, we decided to extend our solutions with advanced analytics. KNIME let us start easy and fast into the Advanced Analytics area. We... more»

What needs improvement?

I mentioned about the distributed architecture in my previous answer, but they did with version 3.5. This time maybe I could add the integration with graph databases like Neo4j.
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342dad8a b784 47ed a5c7 520433732627 avatar
Real User
Senior Community Manager at a tech vendor with 51-200 employees
Jan 16 2018

What do you think of RapidMiner?

Primary Use Case RapidMiner is primarily used to develop and deploy machine learning workflows to real business use cases, e.g. predictive analytics, segmentation, etc... • Improvements to My Organization As a data science consultant, I was able to custom-build a machine learning lead generation (web scraping) tool for a client and have it be operational in 72 hours. • Valuable Features Availability of cutting-edge data science tools and algorithms Ease of code-optional GUI Open Source Java core Easy integration with APIs, Python, R, cloud storage, cloud computing, etc. • Room for Improvement I would like to see wider adoption of the RapidMiner platform by the Open Source community as a viable alternative/companion to Python and R. • Use of Solution More than five...

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