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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

"It's great for consolidation and creating one source of truth."
"The best feature may be data flow, which is used to prepare and clean data."
"It plays a crucial role in facilitating decision-making for various organizational stakeholders."
"It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."
"Oracle Analytics Cloud is not very user-friendly, however, it is robust and capable of performing a wide range of tasks."
"I have found that the scalability quality of Oracle Analytics Cloud works extremely well."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"The product is able to compare with other tools on the market; it has everything you need, everything you can find in other tools such as Tableau and Power BI, and additionally, it has history, so you get a robust solution with support."
"We can see almost-real-time performance in our operations. When there is a problem, it is easy to escalate it to top management and the time for management to make a decision about it is much shorter than it would be using a manual process."
"The performance can issue queries to work in the Oracle database in Oracle's native language. There are a lot of visualizations which suit our business."
"A great feature of the solution is its stability."
"The setup isn't too difficult."
"The scalability of the product is good."
"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."
"The solution is easy to use and very flexible."
"The most valuable feature is the reporting."
 

Cons

"Its FAW feature has limitations in terms of usage."
"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."
"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"It is expensive."
"The solution could be more flexible."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"The performance could improve and in a future release, they could provide more virtualization options."
"Oracle OBIEE only displays KPIs, but it does not include strategic objectives or display risk in a strategic map."
"The drawback with the tool is that though it is well-created, its users are under-trained to use it."
"The functionality to customize and modify reports has been removed, and it would be beneficial to reinstall it, as it allows greater customization and flexibility in creating reports."
"There could be better integration with other solutions, such as Microsoft Office."
"When a large number of queries are running at the same time, the report fails."
"In our organization, we feel that data visualization for APIs is an area in which the solution lacks."
"Its functionality is lacking."
 

Pricing and Cost Advice

"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"A highly cost-effective solution"
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."
"The tool's pricing is not unreasonable or non-competitive."
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"We pay on a monthly basis and it is $10 per user each month."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"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."
"I think to spread this across an enterprise will be a significant investment."
"I would rate it a 4 out of 5 in terms of pricing."
"The licensing cost for Oracle OBIEE is expensive."
"Oracle products are extremely expensive."
"All products from Oracle are very pricey."
"Pricing is an area that could be improved."
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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
6%
Financial Services Firm
15%
Government
10%
Manufacturing Company
7%
Marketing Services Firm
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?
Pricing for Oracle Analytics Cloud works with how much you want it to cost. We have clients who have bought large amounts of Oracle and the price per product has gone down massively because they bo...
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.
884,706 professionals have used our research since 2012.