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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

"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."
"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."
"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."
"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."
"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."
"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."
"It's a coding-less opportunity to use AI. This is the major value for me."
"I would rate the stability of KNIME a ten out of ten."
"Clear view of the data at every step of ETL process enables changing the flow as needed."
"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"KNIME is more intuitive and easier to use, which is the principal advantage."
"Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
 

Cons

"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"
"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."
"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 needs better language support, to include some other languages. Also, they should improve the user interface."
"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."
"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."
"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"
"The solution is inconvenient when it comes to wrangling data that includes multiple steps or features because each step or feature requires its own icon."
"The predefined workflows could use a bit of improvement."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"KNIME's documentation is not strong."
"The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."
"I wish there were more video training resources for KNIME. The current videos are very short, and most learning is text-based. Longer training sessions would be helpful, especially for complex flowchart use cases. Webinars focusing on starting projects and analyzing data would also be beneficial."
"Occasionally, when using the GET object, there might be issues due to the velocity of the lines or the IT system of the commission."
 

Pricing and Cost Advice

"The solution is expensive."
"KNIME offers a free version"
"It is expensive to procure the license."
"We're using the free academic license just locally. I went for KNIME because they have a free academic license."
"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 a cost-effective solution because it’s free of cost."
"This is a free open-source solution."
"KNIME is an open-source tool, so it's free to use."
"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."
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Top Industries

By visitors reading reviews
Performing Arts
12%
University
11%
Healthcare Company
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

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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.
879,927 professionals have used our research since 2012.