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KNIME Business Hub vs TIBCO Statistica comparison

 

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:
 

Categories and Ranking

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)
TIBCO Statistica
Ranking in Data Science Platforms
28th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
1
Ranking in other categories
Predictive Analytics (10th)
 

Mindshare comparison

As of July 2026, in the Data Science Platforms category, the mindshare of KNIME Business Hub is 4.9%, down from 11.9% compared to the previous year. The mindshare of TIBCO Statistica is 0.8%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
KNIME Business Hub4.9%
TIBCO Statistica0.8%
Other94.3%
Data Science Platforms
 

Featured Reviews

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.
reviewer2038860 - PeerSpot reviewer
Key Account Manager at a tech services company with 11-50 employees
Provides versatility in analysis and problem-solving
I use TIBCO Statistica for quality control, creating profile control charts, and employing basic statistical tools in production. Some clients prefer advanced options like neural networks and decision trees for more in-depth analysis. TIBCO Statistica helps us meet a range of statistical needs for…

Quotes from Members

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

Pros

"It is a free open-source tool that performs very similarly to other expensive tools."
"What I like most about KNIME is that it's user-friendly. It's a low-code, no-code tool, so students don't need coding knowledge. You can make use of different kinds of nodes. KNIME even has a good description of each node."
"Usability and organizing workflows in a very neat manner, controlling workflow through variables is something amazing."
"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."
"KNIME has improved our organization because we are able to collect data in a way that we can interpret and it provides visuals."
"KNIME is more intuitive and easier to use, which is the principal advantage."
"This solution is easy to use and it can be used to create any kind of model."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"One of the best features of TIBCO Statistica is its block-based solution building."
 

Cons

"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."
"The current UI is primarily in English. Analyzing data in local languages might present challenges or issues."
"The dynamic column name feature could be improved. When attempting to automate processes involving columns, such as with companies, it becomes difficult to achieve the same result when we make changes."
"The ability to handle large amounts of data and performance in processing need to be improved."
"Scalability is limited to a desktop application."
"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."
"TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing user demands for advanced tasks like image analysis."
 

Pricing and Cost Advice

"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."
"KNIME offers a free version"
"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 an open-source tool, so it's free to use."
"It's an open-source solution."
"This is a free open-source solution."
"I use the tool's free version."
"KNIME is free and open source."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
8%
University
8%
Educational Organization
6%
Construction Company
14%
Educational Organization
13%
University
12%
Energy/Utilities Company
6%
 

Company Size

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

Questions from the Community

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?
I would describe KNIME Decision Hub as somewhat helpful in making data-driven decisions more efficient. It could have been a scalable decisioning as a service at the back end, but it's not working ...
What is your primary use case for KNIME?
I mainly use KNIME Business Hub currently for data ETLs and then it meets with predictive analytics. Sometimes I utilize it for forecasting, but mostly it's predictive analytics. I have utilized bo...
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Also Known As

KNIME Analytics Platform
Quest Statistica, Dell Statistica
 

Overview

 

Sample Customers

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Danske Bank
Find out what your peers are saying about Databricks, Dataiku, Knime and others in Data Science Platforms. Updated: June 2026.
907,372 professionals have used our research since 2012.