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FICO Decision Management 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

FICO Decision Management
Ranking in Data Science Platforms
26th
Average Rating
9.0
Reviews Sentiment
6.7
Number of Reviews
4
Ranking in other categories
Decision Management Tools (2nd)
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)
 

Mindshare comparison

As of November 2026, in the Data Science Platforms category, the mindshare of FICO Decision Management is 1.6%, up from 0.5% compared to the previous year. The mindshare of KNIME Business Hub is 4.1%, down from 11.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
KNIME Business Hub4.1%
FICO Decision Management1.6%
Other94.3%
Data Science Platforms
 

Featured Reviews

it_user147981 - PeerSpot reviewer
Project Manager at a financial services firm with 501-1,000 employees
I would recommend buying this product for loan origination purposes
FICO OM is very flexible in terms of development, with rapid application development options Streamlined loan origination processes. Credit products. Two years. No. No. Below average. Straightforward. Flexible. Yes, we did. I would recommend buying this product for loan origination…
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

"FICO OM is very flexible in terms of development, with rapid application development options."
"It's a huge tool with machine learning features as well."
"It is very fast to develop solutions."
"With KNIME, I am able to get that process down to under one minute, with data broken down into individual tabs."
"For organizations with a small team of data analysts or data scientists, it is a very easy tool to become familiar with predictive modeling, and makes it possible to hand over projects to colleagues without the need to extensively document them."
"From a user-friendliness perspective, it's a great tool."
"I've tried to utilize KNIME to the fullest extent possible to replace Excel."
"We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders."
"KNIME is an open sourced platform and has a free desktop version with unlimited data size and functionality."
 

Cons

"Customer service is below average."
"If they had a more structured training model it would be very helpful."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"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 needs to provide more documentation and training materials, including webinars or online seminars."
"I feel the query performance is slower than my old code."
"There should be better documentation and the steps should be easier."
"Data visualization needs improvement."
"Visual analytics is the main point for improvement for KNIME Business Hub. Computer vision is the most important because now there is a new age of large language models and visual language models."
 

Pricing and Cost Advice

Information not available
"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."
"This is an open-source solution that is free to use."
"It is expensive to procure the license."
"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
"KNIME Business Hub is expensive for small companies."
"It is free of cost. It is GNU licensed."
"It's an open-source solution."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Comms Service Provider
11%
Outsourcing Company
8%
Manufacturing Company
8%
Financial Services Firm
10%
University
8%
Manufacturing Company
8%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise16
Large Enterprise35
 

Questions from the Community

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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...
 

Also Known As

No data available
KNIME Analytics Platform
 

Overview

 

Sample Customers

Aiful, Raiffeisen Bank International AG
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: October 2026.
921,028 professionals have used our research since 2012.