IBM Watson Explorer vs Oracle Business Intelligence Cloud Service comparison

The compared IBM and Oracle solutions aren't in the same category. IBM is ranked #12 in DM , and holds a 1.4% mindshare in the category. Oracle is ranked #28 in BIT , with an average rating of 7.0, and holds a 0.5% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

IBM Watson Explorer

Read 10 IBM Watson Explorer reviews

62 Views
50 Comparison Views

100% willing to recommend

Oracle Business Intelligenc...

Read 4 Oracle Business Intelligence Cloud Service reviews

448 Views
315 Comparison Views

100% willing to recommend

IBM Watson Explorer

Oracle Business Intelligenc...

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Executive Summary

We performed a comparison between IBM Watson Explorer and Oracle Business Intelligence Cloud Service based on real PeerSpot user reviews.

Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining.

To learn more, read our detailed Data Mining Report (Updated: June 2025).

Buyer's Guide

Data Mining

June 2025

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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

Ranking in other categories

Data Mining (12th)

Oracle Business Intelligenc...

Average Rating

7.2

Reviews Sentiment

8.0

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (28th)

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 1.4%, up 0.8% compared to last year.
Oracle Business Intelligence Cloud Service, on the other hand, focuses on BI (Business Intelligence) Tools, holds 0.5% mindshare, up 0.5% since last year.

Data Mining

BI (Business Intelligence) Tools

Featured Reviews

it_user1319820

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…

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Sucheth M

System, Projects and Governance at CIMB Bank

User-friendly solution but data modelling could be simplified

So far, it looks stable for us. One other good thing is that the platform is software as a subscription, and Oracle regularly releases updates. They are quarterly and are fairly updated; they don't really introduce any new features without informing customers in advance about the upcoming releases. So they're constantly improving it, and there is a regular upgrade. I'm like, "You know, you need to do a version upgrade and optimize. Maybe we do it once in three years or five years." But the cloud solution is where there are constant updates and ticketing releases every quarterly. So that's something which is very good. You don't have to wait for, you know, the version upgrades or something where the new features are expected only in the new version and whatever it is here. It is continuous development and also continuous releases of new features. That's something good in terms of their cloud solutions.

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Quotes from Members

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

Pros

"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."

"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."

"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."

"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."

"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."

"The solution effectively integrates with third-party products."

"Its ease of use and the ability to drill down into detail are the most valuable. Executive dashboarding features are the most commonly used ones."

"The most valuable features are user-friendly and self-service tools. Users can define their reports based on available data sets, with multiple dimensions and slide and dice data capabilities."

"Initial setup was straightforward."

Cons

"It needs better language support, to include some other languages. Also, they should improve the user interface."

"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"

"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"

"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."

"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."

"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."

"The solution is expensive."

"When looking at web-based BI or cloud-based BI vendors, there should be abilities for power users to build deep analysis. If they are not data science tools, they are not for power users."

"In terms of data modeling, it could be simplified. Sometimes, it seems complicated. Also, the response time for data set refreshes could be faster to enhance the user experience."

"The dashboard could be improved and include additional features."

"Quality of support varies."

Pricing and Cost Advice

"The solution is expensive."

"The solution's pricing is reasonable compared to other products."

"Oracle products are always going to be on the higher end of your price scale. You have to kind of accept that going in."

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Top Industries

By visitors reading reviews

Educational Organization

14%

Computer Software Company

Financial Services Firm

University

Financial Services Firm

20%

Computer Software Company

13%

University

Legal Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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What do you like most about Oracle Business Intelligence Cloud Service?

The most valuable features are user-friendly and self-service tools. Users can define their reports based on available data sets, with multiple dimensions and slide and dice data capabilities.

See all answers

What needs improvement with Oracle Business Intelligence Cloud Service?

In terms of data modeling, it could be simplified. Sometimes, it seems complicated. Also, the response time for data set refreshes could be faster to enhance the user experience. In future releases...

See all answers

What is your primary use case for Oracle Business Intelligence Cloud Service?

We are using this intelligence for management reporting and analysis. We have certain KPIs and dashboards derived from Oracle Cloud Analytics. We also use OBIA for reporting and analytics with tran...

See all answers

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Product Reports

Buyer's Guide

IBM Watson Explorer

June 2025

Download IBM Watson Explorer product report

Buyer's Guide

BI (Business Intelligence) Tools

June 2025

Oracle Business Intelligence Cloud Service report

Download Oracle Business Intelligence Cloud Service product report

Also Known As

IBM WEX

No data available

Overview

IBM Watson Explorer is a cognitive exploration and content analysis platform that lets you listen to your data for advice. Explore and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in cognitive capabilities powered by machine learning models, natural language processing and next-generation APIs to unlock hidden value in all your data. Gain a secure 360-degree view of customers, in context, to deliver better experiences for your clients.

IBM

Oracle Business Intelligence Cloud Service enables all users to tap into the most pertinent data, whenever and wherever they need it. With BI Cloud Service, robust analysis is accessible to everyone, from individuals to large workgroups, across the enterprise.

Oracle

Sample Customers

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda

Grant Thornton, FORTH, Anthem

Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: June 2025.

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We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.