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IBM Watson Explorer vs KNIME Business Hub comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 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

IBM Watson Explorer
Ranking in Data Mining
11th
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
No ranking in other categories
KNIME Business Hub
Ranking in Data Mining
1st
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
63
Ranking in other categories
Data Science Platforms (4th)
 

Mindshare comparison

As of April 2026, in the Data Mining category, the mindshare of IBM Watson Explorer is 2.9%, up from 0.8% compared to the previous year. The mindshare of KNIME Business Hub is 11.7%, down from 25.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining Mindshare Distribution
ProductMindshare (%)
KNIME Business Hub11.7%
IBM Watson Explorer2.9%
Other85.4%
Data Mining
 

Featured Reviews

it_user1319820 - PeerSpot reviewer
Lead Engineer at a computer software company with 10,001+ employees
A data analysis tool that is scalable and includes keyword search functionality
The solution is used for a government company for data collection and analysis I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer. I have been using the solution for five…
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.

Quotes from Members

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

Pros

"I really can't talk enough about the team."
"Implementing the solution really helped with manual labor, it takes care of a lot of FT work."
"The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own."
"The main use case is FAQ for the user; it works for almost 80% of the use case coverage."
"What impressed me more about Watson is that it is easy to use it, not for the technical people, but for business people."
"IBM has been working with Bradesco since 1968, I think, and the support is very good, with a team of 10 IBM employees working every day, 24 hours, inside the bank in Sao Paolo."
"We take natural language that was happening in our repositories and our application and then feed it to the Watson APIs. We receive JSON payloads as an API response to get cognitive feedback from the repository data."
"The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key."
"The tool's analytic capabilities are good."
"We have found KNIME valuable when it comes to its visualization."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"It's a coding-less opportunity to use AI. This is the major value for me."
"It has allowed us to easily implement advanced analytics into various processes."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
 

Cons

"More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great. But I would just like to see more... innovation done with the Watson platform."
"The solution is expensive."
"Stability is actually one of the areas that could use improvement. Setting it up is always tough; setting Explorer requires experts, and the underlying platform is not that stable, so it really needs a good expert to keep it running."
"Small businesses will probably have a little harder time getting into it, just because of the amount of resources that they have available, both financial and time, but it really is a solution that should work for them."
"No, it's not yet stable."
"Sometimes the service stops."
"I think we'll get it to a 10, but I think at the moment it's got to be a good eight or nine out of 10 at least."
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"Occasionally, when using the GET object, there might be issues due to the velocity of the lines or the IT system of the commission."
"If they had a more structured training model it would be very helpful."
"There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."
"The current UI is primarily in English. Analyzing data in local languages might present challenges or issues."
"The documentation needs a proper rework."
"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."
"They should look at other vendors like Alteryx that are more user friendly and modern."
 

Pricing and Cost Advice

"The solution is expensive."
"It is free of cost. It is GNU licensed."
"I use the open-source version."
"KNIME offers a free version"
"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 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."
"This is a free open-source solution."
"There is a Community Edition and paid versions available."
"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
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Top Industries

By visitors reading reviews
Healthcare Company
11%
Financial Services Firm
11%
Performing Arts
11%
University
9%
Financial Services Firm
12%
Manufacturing Company
9%
University
8%
Educational Organization
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise7
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise16
Large Enterprise31
 

Questions from the Community

Ask a question
Earn 20 points
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?
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. For example, if I want to c...
What is your primary use case for KNIME?
My use case for KNIME Business Hub includes automation, querying from the database, and outputting to Excel and creating charts.
 

Also Known As

IBM WEX
KNIME Analytics Platform
 

Overview

 

Sample Customers

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Find out what your peers are saying about IBM Watson Explorer vs. KNIME Business Hub and other solutions. Updated: April 2026.
890,071 professionals have used our research since 2012.