No more typing reviews! Try our Samantha, our new voice AI agent.

KNIME Business Hub vs TIBCO Data Science comparison

Why PeerSpot?
 

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
6.7
Number of Reviews
66
Ranking in other categories
Data Mining (1st)
TIBCO Data Science
Ranking in Data Science Platforms
25th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the Data Science Platforms category, the mindshare of KNIME Business Hub is 4.2%, down from 12.3% compared to the previous year. The mindshare of TIBCO Data Science is 1.5%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
KNIME Business Hub4.2%
TIBCO Data Science1.5%
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.
JS
Tibco Spotfire Expert (contractor via Amaris) at GSK
Good performance, reporting, and data visualization
The two similar solutions that I have used are MicroStrategy and Tableau. Tableau is pretty similar and it would be difficult for me to point out the differences. With MicroStrategy, it has a great feature where you build the representation in the database and it then the tool creates SQL queries by itself. There are more differences between these tools but this is the one essential difference.

Quotes from Members

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

Pros

"We have achieved more data-driven decisions since using KNIME Business Hub, for example, we collected and created workflows to analyze the energy consumption of our headquarters building, which helped significantly improve our energy efficiency."
"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."
"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."
"KNIME is very easy to handle and use. Anyone can use it, and it's easy to learn."
"KNIME is easy to use, it's stable, powerful, and has a lot of features."
"Data preparation and data modeling are easy to do."
"We have been able to appreciate the considerable reduction in prototyping time."
"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."
"In this sector of the market, it is indeed a better tool than the other data analytics tool, such as QlikView, for example."
"The idea that you don't have to generate reports each day but they are sent automatically is great."
"The most valuable feature is the performance."
"In general, I would say that this is a good tool and I recommend it."
"The most valuable feature is the ease of setting up visualizations."
"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."
 

Cons

"Sometimes, we needed more space to handle larger operations, especially since our machines had limited space and memory due to Kubernetes clusters."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"KNIME doesn't handle large datasets or a high number of records well."
"I think the data visualization part is the area most in need of improvement."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"For graphics, the interface is a little confusing. So, this is a point that could be improved."
"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."
"Occasionally, when using the GET object, there might be issues due to the velocity of the lines or the IT system of the commission."
"At this point, there are other tools that I would recommend before using Spotfire."
"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."
"The scripting for customization could be improved."
"The initial setup was quite complex."
"Additional templates would help to get things moving more quickly in terms of getting the reports out."
"Whenever the client or someone was opening the report it would take around 15 to 20 minutes to open the first time."
"I would like the visualization for the map of countries to be more easily configurable."
 

Pricing and Cost Advice

"KNIME is an open-source tool, so it's free to use."
"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."
"KNIME assets are stand alone, as the solution is open source."
"We're using the free academic license just locally. I went for KNIME because they have a free academic license."
"KNIME is a cost-effective solution because it’s free of cost."
"KNIME offers a free version"
"It's an open-source solution."
"At this time, I am using the free version of Knime."
Information not available
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
914,109 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
11%
University
8%
Manufacturing Company
8%
Outsourcing Company
7%
Comms Service Provider
16%
Construction Company
12%
Manufacturing Company
11%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise16
Large Enterprise35
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?
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...
Ask a question
Earn 20 points
 

Also Known As

KNIME Analytics Platform
Alpine Data Chorus
 

Overview

 

Sample Customers

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Havas Media, Tipping Point Community, eviCore
Find out what your peers are saying about KNIME Business Hub vs. TIBCO Data Science and other solutions. Updated: September 2026.
914,109 professionals have used our research since 2012.