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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 (22nd), 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 1.0% compared to last year.
Yellowfin, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.1% mindshare, up 0.2% since last year.
Data Mining Mindshare Distribution
ProductMindshare (%)
IBM Watson Explorer3.3%
IBM SPSS Statistics16.8%
IBM SPSS Modeler16.5%
Other63.4%
Data Mining
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Yellowfin1.1%
Microsoft Power BI8.1%
Tableau Enterprise6.2%
Other84.6%
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."
"What impressed me more about Watson is that it is easy to use it, not for the technical people, but for business people."
"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."
"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."
"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."
"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."
"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."
"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."
"Yellowfin doesn’t try to do everything – it is a BI presentation and communication tool, and it does it brilliantly."
"It is a central source of up-to-date data and information."
 

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 or something of the like."
"The solution is expensive."
"We haven't used it in production yet so I can't answer this."
"The solution is expensive."
"Sometimes the service stops."
"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."
"No, it's not yet stable."
"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."
"It needs more presentation/charting capabilities and integration with GIS."
"It needs more presentation/charting capabilities and integration with GIS."
"The first release was a bit buggy, but they seem to have gotten on top of that very quickly."
 

Pricing and Cost Advice

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

By visitors reading reviews
Performing Arts
11%
Healthcare Company
11%
Financial Services Firm
11%
University
9%
Construction Company
18%
Educational Organization
14%
Financial Services Firm
8%
Government
6%
 

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: May 2026.
893,311 professionals have used our research since 2012.