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KNIME Business Hub vs Microsoft Azure Machine Learning Studio comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

Review summaries and opinions

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

ROI

Sentiment score
5.5
KNIME Business Hub enhances ROI through cost-effective data analysis, quick integration, transparent licensing, and improved productivity without increasing staff.
Sentiment score
7.0
Microsoft Azure Machine Learning Studio improves efficiency with a 36% ROI, offering streamlined processes and comprehensive solutions.
Definitely in terms of time reduction and the speed with which data is obtained and delivered to the more business-oriented team that then has to make decisions, these two factors are important indicators.
Data Analyst at Politecnico di Milano
I have seen a return on investment from using Microsoft Azure Machine Learning Studio in terms of workload reduction, as we now complete the same projects with two people instead of five.
Data Scientist
 

Customer Service

Sentiment score
6.4
KNIME Business Hub offers fast community-based support, though official documentation and technical assistance are less comprehensive than competitors.
Sentiment score
7.2
Microsoft Azure Machine Learning Studio offers responsive support, but small clients suggest faster responses and improved escalation processes.
While they cannot always provide immediate answers, they are generally efficient and simplify tasks, especially in the initial phase of learning KNIME.
BI Analyst at a photography company with 11-50 employees
My mark for technical support for KNIME Business Hub is about a 7, as most of the support is in the community, and it is quite good because it is open source.
Senior Consultant at a tech vendor with 10,001+ employees
I carefully examined KNIME Business Hub resources in terms of videos, tutorials, courses, and documentation, which are very comprehensive.
Data Analyst at Politecnico di Milano
The customer support for Microsoft Azure Machine Learning Studio is quite responsive across different channels, making it a cool experience.
Data Scientist
Microsoft technical support is rated a seven out of ten.
Solution Sales Specialist at Intent Solutions Group
 

Scalability Issues

Sentiment score
6.6
KNIME Business Hub is scalable for large datasets and users, adaptable for enterprise operations, and manageable for growth.
Sentiment score
7.4
Microsoft Azure Machine Learning Studio is praised for its scalability, flexibility, and efficient cloud-based capabilities, with high user satisfaction.
KNIME Business Hub scales quite well regarding data volume.
Data Analyst at Politecnico di Milano
Microsoft Azure Machine Learning Studio is scalable as I can choose the compute, making it flexible for various scales.
Data Engineer at a educational organization with 201-500 employees
We are building Azure Machine Learning Studio as a scalable solution.
Senior Developer at a financial services firm with 10,001+ employees
Microsoft Azure Machine Learning Studio's scalability has been beneficial, as I could increase my compute resources when needing more data injection.
Data Scientist
 

Stability Issues

Sentiment score
7.6
KNIME Business Hub is stable and efficient for small data, but faces challenges with larger loads and occasional update issues.
Sentiment score
7.8
Microsoft Azure Machine Learning Studio is stable, reliable, with occasional JavaScript issues, suitable for non-production environments.
For now, KNIME Business Hub is excellent for me and for our team.
Co Founder & Chief Data Officer Cdo at NTT DATA
From 1 to 10, I would rate the stability of KNIME Business Hub quite good, around an 8 or 9.
Senior Consultant at a tech vendor with 10,001+ employees
KNIME Business Hub is stable with small connection issues with the company data system.
Data Analyst at Politecnico di Milano
 

Room For Improvement

KNIME users want improved data visualization, documentation, interface, platform connectivity, training, pricing, and large dataset management.
Users seek improved usability, algorithm variety, support, pricing, integration, deep learning modules, and better data preparation in Azure ML Studio.
I would like to see additional functions in KNIME Business Hub that can connect to generative AI, allowing users to describe the workflow for easier workflow generation and creation.
Senior Consultant at a tech vendor with 10,001+ employees
When I import this data set in the File Reader node, I have problems with this field because it is a date, but the problem is that it imports it as text.
Co Founder & Chief Data Officer Cdo at NTT DATA
Computer vision is the most important because now there is a new age of large language models and visual language models.
Director, Channel And Alliances at Basefy
It would be beneficial for them to incorporate more services required for LLMs or LLM evaluation.
Data Engineer at a educational organization with 201-500 employees
I find the pricing to be not a good story in this case, as it is not affordable for everyone.
Solution Sales Specialist at Intent Solutions Group
In future updates, I would appreciate improvements in integration and more AI features.
Public Cloud at KDDI Corporation
 

Setup Cost

KNIME Business Hub offers cost-effective analytics tools with open-source desktop access and valuable enterprise features for larger organizations.
Microsoft Azure's pricing is seen as reasonable, though complexities and potential high costs require careful management.
I rate the pricing as three or four on a scale of one to ten in terms of affordability.
Solution Sales Specialist at Intent Solutions Group
The pricing for Microsoft Azure Machine Learning Studio is reasonable since it's pay as you go.
Data Scientist
 

Valuable Features

KNIME Business Hub excels with its intuitive interface, robust analytics, and integration, enhancing data preparation and problem-solving.
Microsoft Azure Machine Learning Studio is user-friendly, scalable, integrates with Azure, supports AutoML, and accommodates all skill levels.
KNIME Business Hub has had a positive impact on my organization by leading to time savings, as many activities were automated and reduced to a morning check, whether daily or weekly, to verify that all flows had run.
Data Analyst at Politecnico di Milano
KNIME is more intuitive and easier to use, which is the principal advantage.
Student at ISCTE - INSTITUTO UNIVERSITÁRIO DE LISBOA
KNIME is simple and allows for fast project development due to its reusability.
BI Analyst at a photography company with 11-50 employees
The platform provides managed services and compute, and I have more control in Azure, even in terms of monitoring services.
Data Engineer at a educational organization with 201-500 employees
Microsoft Azure Machine Learning Studio is a powerful platform for those already in the Azure ecosystem because it allows for scalability and provides a good environment for reproducibility, as well as collaboration tools, all designed and packaged in one place, which makes it outstanding.
Data Scientist
Azure Machine Learning Studio provides a platform to integrate with large language models.
Senior Developer at a financial services firm with 10,001+ employees
 

Categories and Ranking

KNIME Business Hub
Ranking in Data Science Platforms
3rd
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
65
Ranking in other categories
Data Mining (1st)
Microsoft Azure Machine Lea...
Ranking in Data Science Platforms
8th
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
62
Ranking in other categories
AI Development Platforms (7th)
 

Mindshare comparison

As of November 2026, in the Data Science Platforms category, the mindshare of KNIME Business Hub is 4.1%, down from 11.2% compared to the previous year. The mindshare of Microsoft Azure Machine Learning Studio is 2.6%, down from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
KNIME Business Hub4.1%
Microsoft Azure Machine Learning Studio2.6%
Other93.3%
Data Science Platforms
 

Featured Reviews

FE
Data Analyst at Politecnico di Milano
Automation has transformed payroll reporting and empowers nontechnical teams to run data workflows
KNIME Business Hub could be improved by increasing integration between KNIME and other tools, such as where companies store data and data visualization tools, making it easier to integrate with these tools and faster to create dashboard updates and quick data extraction through KNIME. An ETL process must communicate with both data sources and the data visualization layer. The integration needs to be more robust, and the nodes that act as connectors to these sources and tools need to be more robust, as the flow often broke when the problem was just a connection issue. This should be improved and perhaps expanded. Another problem was that KNIME could not integrate with all tools. Expanding the possibilities of creating reports and connecting to data visualization tools, especially on the data visualization side, would be useful. The output of an ETL process or ETL flow is visualization through a dashboard or report, so more downstream integration in the process would be needed. Regarding improvements needed in KNIME Business Hub, there may be a hierarchy of users and certain applications created. On the security side of accessing company data, I do not know whether this is already sufficiently considered by KNIME or not. I hope so, because certain data are sensitive and need to be handled with care. The fact that KNIME is enabled to access such data means you also need to ensure that authorizations and data processing policies are respected. Because some company data are sensitive, the fact that KNIME reads them also requires guaranteeing that a policy is respected on the other side. I hope this has already been considered by KNIME Business Hub; I am not aware, but if it has not, this could be an aspect to consider: privacy and the protection of company data when they are read by a system that is not company-owned but still must read them with all proper requirements and safeguards.
reviewer2722962 - PeerSpot reviewer
Data Scientist
Platform accelerates model development, enhances collaboration, and offers efficient deployment
The best features Microsoft Azure Machine Learning Studio offers include deep integration with Python notebooks and Azure Data Lake, which allows me to import external data, and through the pipeline, I can build my models, performing what is called data injection for my model building, making that deep integration quite interesting to use. Microsoft Azure Machine Learning Studio is a powerful platform for those already in the Azure ecosystem because it allows for scalability and provides a good environment for reproducibility, as well as collaboration tools, all designed and packaged in one place, which makes it outstanding. Microsoft Azure Machine Learning Studio has positively impacted my organization by reducing our project delivery times and increasing the pace at which we work, allowing us to focus on other more important tasks. Using Microsoft Azure Machine Learning Studio has reduced our model development time from approximately four hours to about two hours.
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Top Industries

By visitors reading reviews
Financial Services Firm
10%
University
8%
Manufacturing Company
8%
Outsourcing Company
7%
Outsourcing Company
13%
Financial Services Firm
12%
Performing Arts
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise16
Large Enterprise35
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise6
Large Enterprise32
 

Questions from the Community

What needs improvement with KNIME?
KNIME Business Hub could be improved by increasing integration between KNIME and other tools, such as where companies store data and data visualization tools, making it easier to integrate with the...
What is your primary use case for KNIME?
I used KNIME Business Hub in my previous role for approximately six months, from April to September 2025. The primary use case for KNIME Business Hub was creating an ETL flow for the HR team that g...
What advice do you have for others considering KNIME?
Regarding concrete examples of metrics or results obtained with KNIME Business Hub, we definitely saved a lot in terms of time and productivity. The work was also much more fluid and activities wer...
Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
What is your experience regarding pricing and costs for Microsoft Azure Machine Learning Studio?
The pricing for Microsoft Azure Machine Learning Studio is reasonable since it's pay as you go, meaning it won't cost excessively unless specific resources are used.
What needs improvement with Microsoft Azure Machine Learning Studio?
The initial setup can be a bit challenging for someone new, as the learning curve can be steep, but once I master the platform, I find it quite manageable. I would love to see the integration of a ...
 

Also Known As

KNIME Analytics Platform
Azure Machine Learning, MS Azure Machine Learning Studio
 

Overview

 

Sample Customers

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Walgreens Boots Alliance, Schneider Electric, BP
Find out what your peers are saying about KNIME Business Hub vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: September 2026.
920,929 professionals have used our research since 2012.