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IBM Watson Explorer vs Yellowfin comparison

 

Comparison Buyer's Guide

Executive Summary

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
Average Rating
8.4
Reviews Sentiment
6.3
Number of Reviews
10
Ranking in other categories
Data Mining (9th)
Yellowfin
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
BI (Business Intelligence) Tools (34th), Reporting (24th), Data Visualization (21st), Embedded BI (15th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. IBM Watson Explorer is designed for Data Mining and holds a mindshare of 3.3%, up 1.1% compared to last year.
Yellowfin, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.1% mindshare, up 0.3% since last year.
Data Mining Mindshare Distribution
ProductMindshare (%)
IBM Watson Explorer3.3%
IBM SPSS Statistics16.2%
IBM SPSS Modeler16.0%
Other64.5%
Data Mining
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Yellowfin1.1%
Microsoft Power BI7.5%
Tableau Enterprise5.8%
Other85.6%
BI (Business Intelligence) Tools
 

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…
AC
‎IS Executive at SAINS
It is a central source of up-to-date data and information, but needs more charting capabilities
Management information Reporting Statistics Data analysis It reduces sending copies of different report/spreadsheet versions over email, which makes it difficult to access the right report. It is also able to create information dashboards for various users' throughout.  All management…

Quotes from Members

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

Pros

"The main use case is FAQ for the user; it works for almost 80% of the use case coverage."
"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 valuable feature of Watson Explorer for us is data entities, and being able to see hidden insights from within unstructured data."
"I really can't talk enough about the team."
"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."
"Yellowfin doesn’t try to do everything – it is a BI presentation and communication tool, and it does it brilliantly."
"It reduces time to reproduce reports, provides easy access to organisational data, and has the ability to generate a wide range of reports and analysis."
"It is a central source of up-to-date data and information."
"It is able to create information dashboards for various users' throughout."
 

Cons

"No, it's not yet stable."
"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."
"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."
"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"
"We haven't used it in production yet so I can't answer this."
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"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 or something of the like."
"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."
"The first release was a bit buggy, but they seem to have gotten on top of that very quickly."
"It needs more presentation/charting capabilities and integration with GIS."
 

Pricing and Cost Advice

"The solution is expensive."
Information not available
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Top Industries

By visitors reading reviews
Construction Company
13%
Financial Services Firm
10%
Performing Arts
10%
Healthcare Company
10%
Construction Company
18%
Educational Organization
13%
Manufacturing Company
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise7
No data available
 

Also Known As

IBM WEX
No data available
 

Overview

 

Sample Customers

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
NCS, Universitat Konstanz, AT&T, PG&E, SingTel, InternetStores
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: June 2026.
900,125 professionals have used our research since 2012.