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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

"With KNIME, I am able to get that process down to under one minute, with data broken down into individual tabs."
"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."
"I've never had any problems with stability."
"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."
"It is possible to configure the system to effectively manage memory and space requirements."
"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 idea that you don't have to generate reports each day but they are sent automatically is great."
"In this sector of the market, it is indeed a better tool than the other data analytics tool, such as QlikView, for example."
"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

"Other solutions should be considered for enterprise level implementation."
"There should be better documentation and the steps should be easier."
"The license is quite expensive for us."
"Compared to the other data tools on the market, the user interface can be improved."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"It's pretty straightforward to understand. So, if you understand what the pipeline is, you can use the drag-and-drop functionality without much training. Doing the same thing in Python requires so much more training. That's why I use KNIME."
"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."
"Whenever the client or someone was opening the report it would take around 15 to 20 minutes to open the first time."
"The scripting for customization could be improved."
"Additional templates would help to get things moving more quickly in terms of getting the reports out."
"I would like the visualization for the map of countries to be more easily configurable."
"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 initial setup was quite complex."
 

Pricing and Cost Advice

"The price of KNIME is quite reasonable and the designer tool can be used free of charge."
"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 is an open-source tool, so it's free to use."
"It is expensive to procure the license."
"KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required."
"KNIME is a cost-effective solution because it’s free of cost."
"This is a free open-source solution."
"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."
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...
Ask a question
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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.