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IBM Watson Explorer vs Verix Limelight comparison

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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)
Verix Limelight
Average Rating
10.0
Reviews Sentiment
9.4
Number of Reviews
5
Ranking in other categories
BI (Business Intelligence) Tools (38th)
 

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 3.5%, up 1.5% compared to last year.
Verix Limelight, on the other hand, focuses on BI (Business Intelligence) Tools, holds 0.7% mindshare, up 0.2% since last year.
Data Mining Mindshare Distribution
ProductMindshare (%)
IBM Watson Explorer3.5%
IBM SPSS Statistics15.6%
IBM SPSS Modeler15.5%
Other65.4%
Data Mining
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Verix Limelight0.7%
Microsoft Power BI7.4%
Tableau Enterprise5.9%
Other86.0%
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…
it_user104361 - PeerSpot reviewer
Vice President, BI with 5,001-10,000 employees
Business Analytics enables us to better understand our business and compare ourselves meaningfully to our competitors.
The solution has a number of distinct features that are noteworthy. First, it is an incredibly flexible and fast, yet comprehensive analytical solution. Verix has found a way to deploy the solution quickly, in under 3 months, while providing a product that is robust and uniquely tailored to the sales model within the industry. Second, in response to specific business needs that are constantly arising, Verix is consistently able to address our needs in a quick and thoughtful manner. Additionally, since Verix is cloud-based, these changes happen almost immediately, usually within hours or days. Finally, Verix’s intelligent business alerts (i.e. hotspots) provide outstanding value by putting easy-to-use analytics in the hands of the user.

Quotes from Members

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

Pros

"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."
"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."
"The main use case is FAQ for the user; it works for almost 80% of the use case coverage."
"The valuable feature of Watson Explorer for us is data entities, and being able to see hidden insights from within unstructured data."
"Implementing the solution really helped with manual labor, it takes care of a lot of FT work."
"Previously we'd have a set of health and safety analysts who would be the key focal points for doing work to understand health and safety risks; so a very small number of people, but through WEX and through our Watson HSEQ solution, we've managed to get engagement across at least one-third of our workforce, so over 1,300 people, and a 25% reduction in health and safety incidents."
"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."
"What impressed me more about Watson is that it is easy to use it, not for the technical people, but for business people."
"Verix’s intelligent business alerts (i.e. hotspots) provide outstanding value by putting easy-to-use analytics in the hands of the user."
"Verix has improved our processes since the entire sales force now functions on this standardized platform, which allows for smoother channels of communication throughout the team."
"The ability to identify in real time changes in behavior that are in contrast to expected and past behavior applies to any constituent’s behavior – customers, prescribers, competitors, payers, and even your own sales reps, and the product is also extremely user friendly."
"Previously we were using a solution called Business Information Warehouse, and another called Tableau; neither was as easy to use or as advanced as the Verix solution."
 

Cons

"Sometimes the service stops."
"No, it's not yet stable."
"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."
"We haven't used it in production yet so I can't answer this."
"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."
"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"
"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."
"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."
"There are tools in the market that have very slick graphical interface features."
"Currently there are 10 applications in the solution such as product launch and funnel. In the future I would like to see Verix add additional analytical applications so that an even greater range of the business aspects is covered."
 

Pricing and Cost Advice

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

By visitors reading reviews
Construction Company
15%
Healthcare Company
13%
Performing Arts
10%
Financial Services Firm
10%
No data available
 

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 Business1
Midsize Enterprise1
Large Enterprise5
 

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
P&G, Accenture, Roche Diagnostics, KV Pharmaceutical, The Nielsen Company, HealthCare Pharmaceuticals, Bayer HealthCare Pharmaceuticals
Find out what your peers are saying about IBM, Knime, Weka and others in Data Mining. Updated: August 2026.
911,549 professionals have used our research since 2012.