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IBM Watson Explorer vs Oracle OBIEE 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)
Oracle OBIEE
Average Rating
7.8
Reviews Sentiment
5.7
Number of Reviews
159
Ranking in other categories
BI (Business Intelligence) Tools (17th), Reporting (12th)
 

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 3.6%, up 2.1% compared to last year.
Oracle OBIEE, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.8% mindshare, down 2.5% since last year.
Data Mining Mindshare Distribution
ProductMindshare (%)
IBM Watson Explorer3.6%
IBM SPSS Statistics15.0%
IBM SPSS Modeler14.9%
Other66.5%
Data Mining
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Oracle OBIEE1.8%
Microsoft Power BI7.1%
Tableau Enterprise5.8%
Other85.3%
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…
AA
Analyst at Equifax Inc.
Unified semantic layer has driven informed credit risk decisions and real-time analytical insight
Performance-related issues are a concern, as in multiple reports I have seen, some reports were poorly performing. We can focus on implementation of performance so that reports are delivered within seconds. The user interface and self-service experience can be improved through modernization of the UI, addressing self-service limitations, and integrating with mobile. Technical and administrative complexities can also be addressed. Complexities such as system configuration require attention. In the initial setup of Oracle OBIEE, there are multiple things starting from infrastructure provisioning, database schemas, and WebLogic server installations. However, the RPD, the semantic layer, is the steepest hurdle. Security integration, integrating with LDAP or Active Directory, is rarely plug and play and requires deep knowledge of WebLogic. Deep knowledge is necessary when starting with the initial setup of Oracle OBIEE. Other dependencies include Java middleware and client tools. Since Oracle OBIEE deals with huge data, report performance is the biggest concern. The out-of-the-box setup is rarely optimized, so we need to manually check configuration files, such as nqsconfig.ini file settings. For recommendations in Oracle OBIEE, from what I have seen, we work with star schemas in the RPD. I always aim for the star schema in the business model, even if the physical source is normalized. This approach will impact the performance, speed of the data, and accuracy. Oracle OBIEE could improve to allow other schemas as well. Performance is a major area for improvement, and they should work on aggregating the persistence and improve the persistence wizard where we implement aggregations. Caching features have been given, including event polling tables where we can do purging and seeding, but the main focus should be with respect to schema designs.

Quotes from Members

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

Pros

"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."
"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."
"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."
"I really can't talk enough about the team."
"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."
"What impressed me more about Watson is that it is easy to use it, not for the technical people, but for business people."
"It's straightforward for installation and configuration."
"There are some great new features in the latest version."
"Excellent BI tool that is flexible and user-friendly, and getting better with each new release."
"The cost factor is the most valuable feature; it's very cheap to deploy it enterprise-wide without having to worry about breaking the bank."
"For me, it makes the difference is in terms of our users being able to take advantage of a product which allows you to get access to data, reports, make decisions quickly, and have better insights regarding operations."
"Being able to access multiple data sources, being able to pull them all together, and being able to establish the same information that everybody can refer to are some of its benefits."
"The most valuable feature for us is the ability for endusers and superusers to do some deeper dives without IT intervention."
"The technical support services are good."
 

Cons

"Sometimes the service stops."
"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."
"We haven't used it in production yet so I can't answer this."
"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."
"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."
"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."
"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 needs better language support, to include some other languages. Also, they should improve the user interface."
"If you are using it for a small to mid-sized company, OBIEE doesn't make much sense."
"One significant improvement is the need for simplification. The set up could be more intuitive. An enterprise setup with HA and DR are pretty complex and to get a robust solution one has to play around with Real Application Cluster data sources and FAN notifications as well as WebLogic clustering and external load balancers. SSO also is not that simple to set up especially if you want all your Oracle systems to use the same SSO solution, i.e., no cheating with direct LDAP connectivity."
"Oracle OBIEE could improve by having better integration and compatibility with other vendors."
"Oracle OBIEE has a steep learning curve compared to tools like SQL Server or Power BI. In situations where complex problem-solving is required, Oracle's support tends to direct users to sales representatives with limited technical knowledge, which is less than ideal."
"However, OBIEE lacks support for deploying multiple RPD on one BI server, direct access to RPD schema or model layers. Also the overall solution is heavier relative to other products."
"Dashboard reporting could be more dynamic and easier to drill down into."
"Customers are expecting many out of box things, which, currently, OBIEE doesn't support."
"They should develop greater visualization because their visualization isn't industry leading at the moment. The way you pull the data and see the data compared to other platforms, they're lagging a little bit behind. Also, their cost. I've got Oracle account managers trying to persuade me every day to purchase these licenses. Once you purchase OBIEE, then you have to purchase the virtualization and then you have to purchase the mobile license to operate on the mobile. It's really expensive."
 

Pricing and Cost Advice

"The solution is expensive."
"It's comparable to the current technology we're using, Qlik Sense."
"In our organization, we use a user-based license for Oracle OBIEE, and I've heard that the license cost is based on the number of users."
"There are no additional costs, but there might be some charges for the Java feature."
"It is reasonable, but it depends on how you're going to use it. There are no costs in addition to the standard licensing fees."
"If you compare Qlik Sense and Oracle OBIEE licensing, then Oracle products are much better. With Qlik Sense, you have to pay per client and per use. But we get Oracle OBIEE along with the Oracle database, making it much more cost-effective in the long term."
"The licensing cost for Oracle OBIEE is expensive."
"I would rate it a 4 out of 5 in terms of pricing."
"All products from Oracle are very pricey."
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Comparison Review

it_user79932 - PeerSpot reviewer
Senior Manager - BI Head with 5,001-10,000 employees
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
 

Top Industries

By visitors reading reviews
Construction Company
16%
Healthcare Company
13%
Performing Arts
10%
Financial Services Firm
10%
Financial Services Firm
16%
Outsourcing Company
11%
Construction Company
11%
Manufacturing 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 Business41
Midsize Enterprise34
Large Enterprise105
 

Questions from the Community

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How does Oracle OBIEE compare with Microsoft BI?
Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle ...
Which Oracle product is better - OBIEE or Analytics Cloud?
Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to assist customers. These are two attributes that make this system quite valuable. OB...
What is your experience regarding pricing and costs for Oracle OBIEE?
Oracle OBIEE is quite expensive, especially when compared to Microsoft's solutions.
 

Also Known As

IBM WEX
OBIEE, Oracle Business Intelligence Enterprise Edition, Oracle BI, Oracle BI EE 11g
 

Overview

 

Sample Customers

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
Banca Transilvania, BeckmanCoulter, Hong Kong Housing Society, HealthShare, Ivanhoe Cambridge Unifies, and Home Credit, and Finance Bank.
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: September 2026.
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