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IBM Watson Explorer vs KNIME Business Hub comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 2, 2025

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
9th
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
7.1
Number of Reviews
60
Ranking in other categories
Data Science Platforms (3rd)
 

Mindshare comparison

As of January 2026, in the Data Mining category, the mindshare of IBM Watson Explorer is 2.6%, up from 0.7% compared to the previous year. The mindshare of KNIME Business Hub is 14.6%, down from 25.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Mining Market Share Distribution
ProductMarket Share (%)
KNIME Business Hub14.6%
IBM Watson Explorer2.6%
Other82.8%
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…
DG
BI Analyst at a photography company with 11-50 employees
Enables fast project development with efficient workflow modifications and promising features while offering modularity and reusability
KNIME is simple and allows for fast project development due to its reusability. I appreciate the ability to make improvements or modifications in existing workflows. Although I have not yet used the forecasting and customer profiling features, I find them promising. Another effective feature is the ability to use GET request objects to retrieve data from websites or APIs. This makes iterative steps easy to manage. It is more elastic and modern compared to SAP Data Services, allowing node creation and regrouping components or steps for reuse in different projects.

Quotes from Members

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

Pros

"For me, as a user, the most valuable feature is the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them."
"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 valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured 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. 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."
"Ease of use is pretty good as is the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs."
"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."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"It offers a node-based data integration and processing system connected through a user-friendly drag-and-drop interface. This makes it an excellent choice for data analytics and engineering tasks."
"The most valuable feature is the data wrangling, which is what I mainly use it for."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"It has allowed us to easily implement advanced analytics into various processes."
"This open-source product can compete with category leaders in ELT software."
"It is possible to configure the system to effectively manage memory and space requirements."
"I would rate the stability of KNIME a ten out of ten."
 

Cons

"Much of IBM operates this way, where they have sets of tools that are in the middleware space, and it becomes the customer's responsibility or the business partner's responsibility to develop full solutions that take advantage of that middleware. I think IBM's finding itself in that spot with Watson-related technologies as well, where the capabilities to do really interesting and useful things for customers is there, but somebody still has to build it. Is that going to be the customer? Are they going to be willing to take on that responsibility themselves"
"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."
"It is a little bit tricky to get used to the workflow of knowing how to train Watson, what can be provided, what can't be, how to provide it, how to import, export, and what it means every time you have to add a new dictionary"
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"The solution is expensive."
"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."
"Stability is actually one of the areas that could use improvement. Setting it up is always tough. Setting Explorer requires experts, but also the underlying platform is not that stable. So it really needs a good expert to keep it running."
"I would say, give some kind of a community edition, a free edition. A lot of companies do, even Amazon gives you some kind of trial and error opportunities. If they could provide something like that, it would be good."
"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."
"Compared to the other data tools on the market, the user interface can be improved."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"There should be better documentation and the steps should be easier."
"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."
"Sometimes, we needed more space to handle larger operations, especially since our machines had limited space and memory due to Kubernetes clusters."
"It could be easier to use."
"We do not have much documentation in Portuguese."
 

Pricing and Cost Advice

"The solution is expensive."
"KNIME assets are stand alone, as the solution is open source."
"KNIME is a cheap product. I currently use KNIME's open-source version."
"This is a free open-source solution."
"KNIME is an open-source tool, so it's free to use."
"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 offers a free version"
"With KNIME, you can use the desktop version free of charge as much as you like. I've yet to hit its limits. If I did, I'd have to go to the server version, and for that you have to pay. Fortunately, I don't have to at the moment."
"I use the tool's free version."
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Top Industries

By visitors reading reviews
Performing Arts
13%
Healthcare Company
9%
University
9%
Recreational Facilities/Services Company
9%
Financial Services Firm
12%
Manufacturing Company
9%
University
9%
Computer Software Company
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 Business20
Midsize Enterprise16
Large Enterprise29
 

Questions from the Community

Ask a question
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What do you like most about KNIME?
Since KNIME is a no-code platform, it is easy to work with.
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 have seen the potential to interact with Python, which is currently a bit limited. I am interested in the newer version, 5.4, when it becomes available. The machine learning and profileration asp...
 

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: December 2025.
879,477 professionals have used our research since 2012.