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Altair Knowledge Studio vs KNIME Business Hub comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

Review summaries and opinions

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

Categories and Ranking

Altair Knowledge Studio
Ranking in Data Science Platforms
20th
Average Rating
8.0
Reviews Sentiment
8.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
KNIME Business Hub
Ranking in Data Science Platforms
3rd
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
63
Ranking in other categories
Data Mining (1st)
 

Mindshare comparison

As of May 2026, in the Data Science Platforms category, the mindshare of Altair Knowledge Studio is 1.6%, up from 0.4% compared to the previous year. The mindshare of KNIME Business Hub is 5.6%, down from 11.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
KNIME Business Hub5.6%
Altair Knowledge Studio1.6%
Other92.8%
Data Science Platforms
 

Featured Reviews

LS
Account Manager at JegaSure
Advanced decision trees and seamless data pattern analysis transform data preparation
One of the most valuable features of Altair Knowledge Studio is its decision trees, which are quite advanced and popular compared to other tools. The Segment Viewer is another unique feature that provides a comprehensive view of data patterns and helps identify anomalies before creating decision trees. Additionally, the ability to export code in the language of SAS is valuable, and the tool's drag-and-drop functionality makes it accessible to business users without a coding background.
NataliaRaffo - PeerSpot reviewer
Co Founder & Chief Data Officer Cdo at NTT DATA
Workflow automation has accelerated advanced analytics and machine learning delivery
Sometimes it is a little bit difficult to use some nodes when we have many large-scale data, for example, CSV files with a large amount of data. It is sometimes difficult to try to import the data in KNIME Business Hub nodes because I think that some features that are in the CSV in text, for example, large text, is difficult for KNIME Business Hub to import these fields. I don't know why, but it is very difficult. We need to try to use different nodes for importing the data, such as File Reader and CSV Reader. However, I think that it is always the features that have much text, it is difficult for KNIME Business Hub to understand and import this information. I don't know why, or maybe I don't know if we don't know what the better option is to configure the node to import all the CSV or the data set. However, we have always had this problem. In some nodes, sometimes it is the same because sometimes, for example, I have a CSV and in my CSV, I have a feature that is, for example, a date. 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, for example. We try to use their nodes that convert text to date, but sometimes it is difficult, and it is not immediate to transform the text into a date. So we needed to convert the text into a date in the CSV, and then import it again in the KNIME Business Hub node and try to have a good read of this field. I know that KNIME Business Hub has some nodes to convert text to date and others, but sometimes it is difficult to use these nodes. I don't know why. Maybe it needs a specific format for the date and we need to transform our feature in this option. So sometimes it is a large process to convert these features. However, sometimes we need to investigate and search for other nodes, and try with other nodes to import these cases.

Quotes from Members

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

Pros

"One of the most valuable features of Altair Knowledge Studio is its decision trees, which are quite advanced and popular compared to other tools."
"It offers a node-based data integration and processing system connected through a user-friendly drag-and-drop interface. This makes it an excellent choice for data analytics and engineering tasks."
"I believe the main benefits I receive from KNIME Business Hub are automation, because when I work through the workflow one time, I can reuse it later on, saving considerable time for many tasks."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"The solution allows for sharing model designs and model operations with other data analysts."
"Overall KNIME serves its purpose and does a good job."
"KNIME is easy to use, it's stable, powerful, and has a lot of features."
"I was able to apply basic algorithms through just dragging and dropping."
"We are able to automate several functions which were done manually, and I can integrate several data sets quickly and easily to support analytics."
 

Cons

"It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"The solution is inconvenient when it comes to wrangling data that includes multiple steps or features because each step or feature requires its own icon."
"It could be easier to use."
"KNIME doesn't handle large datasets or a high number of records well."
"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."
"There are some parameters that I would like to have at a bigger scale. The upper limit of one node that tries to find spots or areas in photos was too small for us. It would need to be bigger."
"KNIME is not scalable."
"KNIME's documentation is not strong."
 

Pricing and Cost Advice

Information not available
"This is an open-source solution that is free to use."
"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."
"KNIME is a cost-effective solution because it’s free of cost."
"There is a Community Edition and paid versions available."
"With KNIME, you can use the desktop version free of charge as much as you like. I've yet to hit its limits. If I did, I'd have to go to the server version, and for that you have to pay. Fortunately, I don't have to at the moment."
"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."
"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."
"At this time, I am using the free version of Knime."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Manufacturing Company
9%
University
8%
Educational Organization
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise16
Large Enterprise32
 

Questions from the Community

What is your experience regarding pricing and costs for Altair Knowledge Studio?
The licensing is straightforward, and we have not encountered any pushbacks from our procurement team. The pricing is on par with market competitors.
What needs improvement with Altair Knowledge Studio?
It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation. Having all these functionalities wi...
What is your primary use case for Altair Knowledge Studio?
I used Altair Knowledge Studio ( /products/altair-knowledge-studio-reviews ) mainly for data preparation and creating decision trees. We used SAS for data preparation and decision trees in Altair K...
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?
In my previous PeerSpot review from March 2024, I mentioned that KNIME was not very strong in visualization and that I wanted to see NLQ (Natural Language Query) and automated visualization capabil...
What is your primary use case for KNIME?
I mainly use KNIME for ETL and data integration projects, followed by clustering and customer segmentation, process mining, AI and machine learning preprocessing pipelines, and recently GenAI orche...
 

Also Known As

Angoss KnowledgeSTUDIO
KNIME Analytics Platform
 

Overview

 

Sample Customers

HSBC, MBNA, US Ban Corp, MasterCard Worldwide, Invesco, Citi Bank, ATB Financial, PayPal, Bajaj Finserv
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Find out what your peers are saying about Databricks, Dataiku, Knime and others in Data Science Platforms. Updated: April 2026.
893,311 professionals have used our research since 2012.