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Oracle Analytics Cloud vs Oracle OBIEE comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

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

Oracle Analytics Cloud
Ranking in BI (Business Intelligence) Tools
13th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
28
Ranking in other categories
Data Visualization (10th)
Oracle OBIEE
Ranking in BI (Business Intelligence) Tools
12th
Average Rating
7.8
Reviews Sentiment
5.7
Number of Reviews
159
Ranking in other categories
Reporting (8th)
 

Mindshare comparison

As of March 2026, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 1.2%, down from 2.3% compared to the previous year. The mindshare of Oracle OBIEE is 1.3%, down from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Oracle OBIEE1.3%
Oracle Analytics Cloud1.2%
Other97.5%
BI (Business Intelligence) Tools
 

Featured Reviews

DavidMalizia - PeerSpot reviewer
Head Of Data And Ai at a tech services company with 11-50 employees
Data projects have grown rapidly and support complex analytics and quick dashboard delivery
Some things that could be improved in Oracle Analytics Cloud is definitely the way it works. In some cases, for example, if you want to create analytic functions such as the percentage of a measure over another, which is a straightforward question you might ask, it appears simple to do, but the result is not what you expect. I would make it more user-friendly in terms of creating new measures. The measure creation feature could be improved. In terms of functionality, there are not many functions that are completely missing. There is one aspect that if you compare it with Power BI from Microsoft, which works completely in memory and therefore puts everything in memory to allow many calculations on the fly on what is in memory, that is missing, but it is architecturally different and would not be possible to ask for something like that. Some time features and time series analysis functions could be improved. Calculating a year ago and previous period functions could definitely work with some improvement.
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

"The ability to quickly search for and access relevant data is crucial."
"A valuable feature is the speed of the solution."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"I have found that the scalability quality of Oracle Analytics Cloud works extremely well."
"The product is easily customized."
"The technical support services are good."
"The scalability is acknowledged as pretty good, although my evaluation is limited because I used the tool for a short period."
"The technical support is excellent, and they respond quickly."
"In terms of features, everything is good. It is also stable and scalable."
"I like the scheduling feature. It has an inbuilt scheduler which is very good, and it allows us to create agents, and those agents can be scheduled. It's quite flexible in that respect and goes into our IT infrastructure. The outputs are sent encrypted to various endpoints. Some are internal, and some are our clients, and it's encrypted at a high level. I do find Oracle OBIEE flexible. If there is stuff that's not in your model or schema, it's very flexible to create SQL scripts and create the data you want. It's quite nice to create a dashboard in OBIEE, and that's pretty straightforward in the way you drag and drop everything. You can create sections, and you can add elements to your page. That bit of the interface is relatively straightforward."
"We do you use Oracle support. We've been paying for an Oracle support subscription for four or five years, and not one ticket has ever been logged. When I came in, I've encouraged the team to ask Oracle questions. They do get back quite quickly. Their support is good. Working with our account managers, if I need to escalate anything, I can speak to them and they escalate the call. I've got that ecosystem working quite well. That does work for us."
"The main features of this solution are that it is easy to use, intuitive, and user-friendly. When I retrieve the data from the database it is in a very raw form, then when I use the Oracle Report Builder it has advanced intelligence features to allow me to view and make changes to the data easily."
"The most valuable feature is the user-friendly set of tools that the customer can use to develop their own business dashboards."
"The most valuable features of Oracle OBIEE are the ease of logging in, the dashboard, and showing the problems in the data. Additionally, the reports are well integrated and it has good technology."
"The most valuable feature of Oracle OBIEE is the security of the solution."
"Both the vertical and horizontal scalability of the solution is good. In terms of scalability, I would rate this solution a nine out of ten."
 

Cons

"The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. AI integration would be an interesting feature to add in the next release."
"One of the major issues is that Oracle Analytics Cloud is not user-friendly, requiring skilled people with proper certifications to work with it successfully."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"The interfaces could be improved and some in-memory operations could be built in."
"It is less scalable than Snowflake."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"The scalability has room for improvement."
"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."
"The platform's interface needs improvement."
"There's a lot of redundancy, especially in relation to creating the code."
"The ability to migrate from one version to another, such as doing so from version 11 to an upgraded 12 of Oracle business environment, can be difficult."
"I would like to see enhancements in tracking, debugging, and flexibility."
"The main problem we face is migrating all of the reports into the solution."
"We were not satisfied with the support, because we could not obtain answers or solutions."
"It takes a lot of maintenance to support the architecture, which is something that should be improved."
"n the beginning it had it's stability issues, but it became stable."
 

Pricing and Cost Advice

"We pay on a monthly basis and it is $10 per user each month."
"A highly cost-effective solution"
"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."
"I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."
"It is an expensive platform."
"I would rate it a five out of five in terms of the value received for the price charge."
"The tool's pricing is not unreasonable or non-competitive."
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"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."
"Power BI is less expensive than Oracle OBIEE. A benefit to Power BI is having the option to work with concurrent licensing."
"The cost of this solution is a little bit high compared with other products like Zoho, so reducing it would make OBIEE more competitive."
"The licensing cost for Oracle OBIEE is expensive."
"Be prepared to spend a lot of time and money."
"It is high."
"I think to spread this across an enterprise will be a significant investment."
"Oracle products are extremely expensive."
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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
Government
12%
Financial Services Firm
9%
Manufacturing Company
8%
Computer Software Company
7%
Financial Services Firm
15%
Government
10%
Manufacturing Company
7%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise7
Large Enterprise11
By reviewers
Company SizeCount
Small Business40
Midsize Enterprise34
Large Enterprise103
 

Questions from the Community

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 do you like most about Oracle Analytics Cloud?
The ability to quickly search for and access relevant data is crucial.
What is your experience regarding pricing and costs for Oracle Analytics Cloud?
The pricing of Oracle Analytics Cloud is quite expensive, fitting for a premium tool. However, the cost raises expectations for partner support that are not met, especially for smaller companies wh...
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 ...
What do you like most about Oracle OBIEE?
The most valuable feature of Oracle OBIEE is its ability to handle large volumes of data and provide traditional BI functionalities that developers can easily understand.
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

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV
OBIEE, Oracle Business Intelligence Enterprise Edition, Oracle BI, Oracle BI EE 11g
 

Overview

 

Sample Customers

Sejong Hospital
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 Oracle Analytics Cloud vs. Oracle OBIEE and other solutions. Updated: March 2026.
883,760 professionals have used our research since 2012.