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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 June 2026, in the Data Science Platforms category, the mindshare of KNIME Business Hub is 5.1%, down from 12.0% compared to the previous year. The mindshare of TIBCO Statistica is 0.9%, 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 Hub5.1%
TIBCO Statistica0.9%
Other94.0%
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

"KNIME is very easy to handle and use. Anyone can use it, and it's easy to learn."
"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."
"It has an excellent interface, is very easy to use, really boosts productivity, has impressive performance even on a normal laptop, and its diversity of tools for preprocessing and integration with R and Weka make it the perfect data mining solution."
"This open-source product can compete with category leaders in ELT software."
"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."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"This is a very handy tool and I use it quite interactively."
"Overall KNIME serves its purpose and does a good job."
"One of the best features of TIBCO Statistica is its block-based solution building."
 

Cons

"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"I feel the query performance is slower than my old code."
"It's difficult to pinpoint one single feature because KNIME has so many. For starters, it's very easy to learn. You can get started with just a one-hour video. The drag-and-drop interface makes it user-friendly. For example, if you want to read an Excel file, drag the "read Excel file" node from the repository, configure it by specifying the file location, and run it. This gives you a table with all your data."
"I think some of the online training content could be better, although I have been able to find all of the information."
"The current UI is primarily in English. Analyzing data in local languages might present challenges or issues."
"We do not have much documentation in Portuguese."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"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."
"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

"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 Business Hub is expensive for small companies."
"I use the tool's free version."
"KNIME offers a free version"
"KNIME assets are stand alone, as the solution is open source."
"At this time, I am using the free version of Knime."
"KNIME is a cheap product. I currently use KNIME's open-source version."
"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
9%
University
8%
Educational Organization
6%
Construction Company
15%
Educational Organization
14%
University
12%
Energy/Utilities Company
7%
 

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: May 2026.
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