Compare KNIME vs. Microsoft Azure Machine Learning Studio

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Most Helpful Review
Hemant Addal
Find out what your peers are saying about KNIME vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: November 2020.
447,546 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"This open-source product can compete with category leaders in ELT software.""The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes.""This solution is easy to use and especially good at data preparation and wrapping.""It's a coding-less opportunity to use AI. This is the major value for me.""This solution is easy to use and it can be used to create any kind of model.""All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function.""What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.""It is very fast to develop solutions."

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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.""The AutoML is helpful when you're starting to explore the problem that you're trying to solve.""The interface is very intuitive."

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Cons
"The ability to handle large amounts of data and performance in processing need to be improved.""I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script.""It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end.""There should be better documentation and the steps should be easier.""KNIME needs to provide more documentation and training materials, including webinars or online seminars.""The predefined workflows could use a bit of improvement.""The documentation is lacking and it could be better.""There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."

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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.""The AutoML feature is very basic and they should improve it by using a more robust algorithm.""The data preparation capabilities need to be improved."

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Pricing and Cost Advice
"KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website.""The price of KNIME is quite reasonable and the designer tool can be used free of charge.""It's an open-source solution.""The price for Knime is okay.""At this time, I am using the free version of Knime."

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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."

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Questions from the Community
Top Answer: I used IBM Modeler several years ago and found it to be effective, but expensive. Fortunately, it was for a commercially funded contract. For KNIME I have only used it for experimental purposes and… more »
Top Answer: This solution is easy to use and it can be used to create any kind of model.
Top Answer: The price of KNIME is quite reasonable and the designer tool can be used free of charge.
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
3rd
Views
25,660
Comparisons
19,503
Reviews
9
Average Words per Review
484
Avg. Rating
8.4
7th
Views
13,467
Comparisons
10,787
Reviews
8
Average Words per Review
500
Avg. Rating
7.5
Popular Comparisons
Compared 36% of the time.
Compared 13% of the time.
Compared 8% of the time.
Compared 3% of the time.
Also Known As
KNIME Analytics PlatformAzure Machine Learning
Learn
Knime
Microsoft
Overview
KNIME is the leading open platform for data-driven innovation helping organizations to stay ahead of change. Use our open-source, enterprise-grade analytics platform to discover the potential hidden in your data, mine for fresh insights or predict new futures.

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 KNIME
Learn more about Microsoft Azure Machine Learning Studio
Sample Customers
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AGWalgreens Boots Alliance, Schneider Electric, BP
Top Industries
REVIEWERS
Comms Service Provider20%
Retailer20%
University20%
Energy/Utilities Company10%
VISITORS READING REVIEWS
Computer Software Company24%
Comms Service Provider17%
K 12 Educational Company Or School7%
Manufacturing Company6%
VISITORS READING REVIEWS
Computer Software Company30%
Comms Service Provider16%
K 12 Educational Company Or School6%
Insurance Company5%
Company Size
REVIEWERS
Small Business29%
Midsize Enterprise38%
Large Enterprise33%
VISITORS READING REVIEWS
Small Business43%
Midsize Enterprise8%
Large Enterprise49%
REVIEWERS
Small Business46%
Midsize Enterprise8%
Large Enterprise46%
Find out what your peers are saying about KNIME vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: November 2020.
447,546 professionals have used our research since 2012.
KNIME is ranked 3rd in Data Science Platforms with 11 reviews while Microsoft Azure Machine Learning Studio is ranked 7th in Data Science Platforms with 10 reviews. KNIME is rated 8.4, while Microsoft Azure Machine Learning Studio is rated 7.6. The top reviewer of KNIME writes "Has good machine learning and big data connectivity but the scheduler needs improvement ". 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". KNIME is most compared with Alteryx, RapidMiner, Weka, Dataiku Data Science Studio and Microsoft BI, whereas Microsoft Azure Machine Learning Studio is most compared with Databricks, Alteryx, Amazon SageMaker, IBM Watson Studio and Dataiku Data Science Studio. See our KNIME vs. Microsoft Azure Machine Learning Studio report.

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