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KNIME Business Hub vs TIBCO Data Science 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 Data Science
Ranking in Data Science Platforms
26th
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 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 Data Science is 1.5%, up from 0.6% 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 Data Science1.5%
Other93.4%
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

"It's a coding-less opportunity to use AI. This is the major value for me."
"For anybody who is looking for a new data science platform, KNIME is a product that I can recommend."
"KNIME is quite scalable, which is one of the most important features that we found."
"The product is open-source and therefore free to use."
"We are able to automate several functions which were done manually, and I can integrate several data sets quickly and easily to support analytics."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"KNIME is more intuitive and easier to use, which is the principal advantage."
"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."
"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."
"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."
"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."
 

Cons

"In the last update, KNIME started hiding a lot of the nodes. It doesn't mean hiding, but you need to know what you're looking for. Before that, you had just a tree that you could click, and you could get an overview of what kind of nodes do I have. Right now, it's like you need to know which node you need, and then you can start typing, but it's actually more difficult to find them."
"The pricing needs improvement."
"The current UI is primarily in English. Analyzing data in local languages might present challenges or issues."
"Compared to the other data tools on the market, the user interface can be improved."
"The documentation is lacking and it could be better."
"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."
"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 diversity of native algorithms could be improved."
"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."
"At this point, there are other tools that I would recommend before using Spotfire."
"I would like the visualization for the map of countries to be more easily configurable."
"Additional templates would help to get things moving more quickly in terms of getting the reports out."
"The scripting for customization could be improved."
"The initial setup was quite complex."
"Whenever the client or someone was opening the report it would take around 15 to 20 minutes to open the first time."
 

Pricing and Cost Advice

"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."
"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."
"There is no cost for using KNIME because it is an open-source solution, but you have to pay if you need a server."
"They have different versions, but I am using the open-source one."
"At this time, I am using the free version of Knime."
"There is a Community Edition and paid versions available."
"This is an open-source solution that is free to use."
"KNIME Business Hub is expensive for small companies."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
9%
University
8%
Educational Organization
6%
Comms Service Provider
17%
Construction Company
15%
Financial Services Firm
12%
Manufacturing Company
10%
 

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
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: June 2026.
900,747 professionals have used our research since 2012.