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Altair Knowledge Studio vs KNIME Business Hub comparison

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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
18th
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
5th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
66
Ranking in other categories
Data Mining (1st)
 

Mindshare comparison

As of October 2026, in the Data Science Platforms category, the mindshare of Altair Knowledge Studio is 1.6%, up from 0.5% compared to the previous year. The mindshare of KNIME Business Hub is 4.1%, 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 Hub4.1%
Altair Knowledge Studio1.6%
Other94.3%
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.
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.

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 is a free open-source tool that performs very similarly to other expensive tools."
"KNIME is easy to learn."
"The solution allows for sharing model designs and model operations with other data analysts."
"We are able to automate several functions which were done manually, and I can integrate several data sets quickly and easily to support analytics."
"It is a complete data science platform and especially good at scaling up data preparation and wrapping."
"It has allowed us to easily implement advanced analytics into various processes."
"The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine."
"The solution allows one to do many things, including data preparation, and I was able to apply basic algorithms through just dragging and dropping, in contrast to Python and other solutions, which involve much coding."
 

Cons

"It would be beneficial if Altair Knowledge Studio could offer a more unified platform that includes data preparation, predictive modeling, and model exportation."
"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."
"The graphic features of KNIME need improvement"
"I've had some problems integrating KNIME with other solutions."
"I think some of the online training content could be better, although I have been able to find all of the information."
"If they had a more structured training model it would be very helpful."
"Regarding integration capabilities, I do not think it is that easy to integrate KNIME Business Hub with another product because the connector does not have many options."
"KNIME can improve by adding more automation tools in the query, similar to UiPath or Blue Prism. It would make the data collection and cleanup duties more versatile."
"The predefined workflows could use a bit of improvement."
 

Pricing and Cost Advice

Information not available
"They have different versions, but I am using the open-source one."
"There is a Community Edition and paid versions available."
"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
"I use the tool's free version."
"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."
"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."
"It's an open-source solution."
"I use the open-source version."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Construction Company
16%
Comms Service Provider
14%
Manufacturing Company
12%
Financial Services Firm
11%
Manufacturing Company
8%
University
8%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise16
Large Enterprise35
 

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 needs improvement with KNIME?
KNIME Business Hub could be improved by making the user experience more intuitive, especially for users who are new to data analytics. More guided features and documentation would be beneficial.
What is your primary use case for KNIME?
I automated the processing of paper-based data by digitalizing scanned documents and creating a KNIME Business Hub workflow that transforms the data into an analysis-ready format, reducing a manual...
What advice do you have for others considering KNIME?
My advice to others looking into using KNIME Business Hub would be to start experimenting. Do not be afraid of KNIME Business Hub, even if you do not have a strong programming background. Start wit...
 

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, Amazon Web Services (AWS) and others in Data Science Platforms. Updated: September 2026.
915,325 professionals have used our research since 2012.