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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

"Clear view of the data at every step of ETL process enables changing the flow as needed."
"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."
"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."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data."
"I was able to apply basic algorithms through just dragging and dropping."
"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."
"One of the best features of TIBCO Statistica is its block-based solution building."
 

Cons

"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"For graphics, the interface is a little confusing. So, this is a point that could be improved."
"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."
"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."
"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."
"The documentation needs a proper rework. ​"
"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 is not good at visualization."
"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

"At this time, I am using the free version of Knime."
"KNIME is free and open source."
"There is a Community Edition and paid versions available."
"For beginners, the free desktop version is very attractive, but the full server version can be more expensive. I have only used the free version and it offers a fair pricing system. I have been promoting it to others without any compensation or request from the company, simply because I am enthusiastic about it. I am not aware of the pricing for the server version, but it seems to be widely used."
"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
"There is no cost for using KNIME because it is an open-source solution, but you have to pay if you need a server."
"KNIME assets are stand alone, as the solution is open source."
"KNIME offers a free version"
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.