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KNIME vs Microsoft Azure Machine Learning Studio comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

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
7.9
KNIME offers substantial ROI through low costs, ease of use, and a transparent licensing model, enhancing productivity and cost-efficiency.
Sentiment score
6.6
Microsoft Azure Machine Learning Studio offers a 36% ROI by simplifying processes, reducing errors, and providing estimation tools.
 

Customer Service

Sentiment score
6.6
KNIME's support is efficient; users benefit from active community forums, though direct support has mixed reviews due to time zones.
Sentiment score
7.1
Users generally rate Microsoft Azure Machine Learning Studio's technical support from moderate to high, appreciating its responsiveness and comprehensive assistance.
While they cannot always provide immediate answers, they are generally efficient and simplify tasks, especially in the initial phase of learning KNIME.
Microsoft technical support is rated a seven out of ten.
 

Scalability Issues

Sentiment score
7.0
KNIME scales well on servers but may struggle with desktops, requires licenses for better scalability, and supports big data extensions.
Sentiment score
7.3
Microsoft Azure Machine Learning Studio is highly rated for scalability, suitable for medium and large organizations, despite some complexity.
Microsoft Azure Machine Learning Studio is scalable as I can choose the compute, making it flexible for various scales.
We are building Azure Machine Learning Studio as a scalable solution.
 

Stability Issues

Sentiment score
7.5
KNIME is praised for stability and efficiency with large files, though performance may vary depending on hardware and updates.
Sentiment score
7.8
Microsoft Azure Machine Learning Studio is reliable but faces stability issues with JavaScript and concerns about its future.
 

Room For Improvement

KNIME needs improved visualization, large dataset handling, better UI, enhanced support, integration with AWS, and machine learning libraries.
Improving Azure Machine Learning Studio involves enhancing integration, usability, documentation, security, performance, and expanding features and tutorials.
For graphics, the interface is a little confusing.
The machine learning and profileration aspects are fascinating and align with my academic background in statistics.
It would be beneficial for them to incorporate more services required for LLMs or LLM evaluation.
In future updates, I would appreciate improvements in integration and more AI features.
I find the pricing to be not a good story in this case, as it is not affordable for everyone.
 

Setup Cost

KNIME offers a free open-source desktop and competitively priced server, appealing to enterprises for cost-effective data solutions.
Azure Machine Learning Studio is secure and efficient, but users find pricing complex and potentially expensive with usage-based costs.
I rate the pricing as three or four on a scale of one to ten in terms of affordability.
 

Valuable Features

KNIME enhances productivity with its visual tools, supporting integration, automation, and complex modeling without extensive coding skills.
Microsoft Azure Machine Learning Studio offers a user-friendly interface, seamless deployment, and strong integration for efficient model development and scalability.
KNIME is simple and allows for fast project development due to its reusability.
KNIME is more intuitive and easier to use, which is the principal advantage.
The platform provides managed services and compute, and I have more control in Azure, even in terms of monitoring services.
Machine Learning Studio is easy to use, with a significant feature being the drag and drop interface that enhances workflow without any complaints.
Azure Machine Learning Studio provides a platform to integrate with large language models.
 

Categories and Ranking

KNIME
Ranking in Data Science Platforms
2nd
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
60
Ranking in other categories
Data Mining (1st)
Microsoft Azure Machine Lea...
Ranking in Data Science Platforms
4th
Average Rating
7.6
Reviews Sentiment
7.0
Number of Reviews
61
Ranking in other categories
AI Development Platforms (3rd)
 

Mindshare comparison

As of April 2025, in the Data Science Platforms category, the mindshare of KNIME is 11.7%, up from 9.8% compared to the previous year. The mindshare of Microsoft Azure Machine Learning Studio is 5.3%, down from 9.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

Laurence Moseley - PeerSpot reviewer
Has a drag-and-drop interface and AI capabilities
It's difficult to pinpoint one single feature because KNIME has so many. For starters, it's very easy to learn. You can get started with just a one-hour video. The drag-and-drop interface makes it user-friendly. For example, if you want to read an Excel file, drag the "read Excel file" node from the repository, configure it by specifying the file location, and run it. This gives you a table with all your data. Next, you can clean the data by handling missing values, selecting specific columns you want to analyze, and then proceeding with your analysis, such as regression or correlation. KNIME has over 4,500 nodes available for download. In addition, KNIME offers various extensions. For instance, the text processing extension allows you to process text data efficiently. It's more powerful than other tools like NVivo and Palantir. KNIME also has AI capabilities. If you're unsure about the next step, the AI assistant can suggest the most frequently used nodes based on your previous work. Another valuable feature is the integration with Python. If you need to perform a task that requires Python, you can simply add a Python node, write the necessary code,
Takayuki Umehara - PeerSpot reviewer
Streamlined workflows with drag and drop convenience but needs enhancements in AI
I use Machine Learning Studio for system reselling and integration Machine Learning Studio is easy to use, with a significant feature being the drag and drop interface that enhances workflow without any complaints. It provides a return on investment and cost savings, proving beneficial for…
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
11%
Computer Software Company
9%
University
8%
Financial Services Firm
13%
Computer Software Company
11%
Manufacturing Company
10%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about KNIME?
Since KNIME is a no-code platform, it is easy to work with.
What is your experience regarding pricing and costs for KNIME?
I rate the product’s pricing a seven out of ten, where one is cheap and ten is expensive.
What needs improvement with KNIME?
For graphics, the interface is a little confusing. So, this is a point that could be improved.
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 do you like most about Microsoft Azure Machine Learning Studio?
The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem.
What is your experience regarding pricing and costs for Microsoft Azure Machine Learning Studio?
Pricing is considered to be top-segment and should be improved. I rate the pricing as three or four on a scale of one to ten in terms of affordability.
 

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 vs. Microsoft Azure Machine Learning Studio and other solutions. Updated: April 2025.
848,716 professionals have used our research since 2012.