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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 April 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 product is easily customized."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"The stability of the product itself by virtue of the fact that it's a cloud product and Oracle is responsible for its hosting is valuable."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"The ability to quickly search for and access relevant data is crucial."
"The solution is user-friendly."
"It's rather user-friendly."
"The solution can scale."
"From my experience as Retail Planner and Business Analyst in fast paced companies, I would suggest this solution to anyone who wants to improve data analysis in terms of data read, performance, analytical culture throughout the company."
"The solution is user-friendly."
"In terms of features, everything is good. It is also stable and scalable."
"The solution has good data visualization features and provides a lot of visualization reports from various data sources."
"Scalability-wise, I rate the solution a nine out of ten...The solution's initial setup was straightforward."
"The centralized metadata model component is most valuable."
"With proper table design plus good data governance, OBIEE can serve as the central delivery mechanism that brings insight into the business layer of almost any size of company."
"It has helped to consolidate data and report on a single version of the truth."
 

Cons

"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"It is less scalable than Snowflake."
"As with most BI tools, the visualizations can be made much nicer."
"The product could benefit from increased flexibility compared to other vendors."
"The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment."
"Its FAW feature has limitations in terms of usage."
"The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment."
"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."
"There are times we have slowness when processing the reports with Oracle OBIEE. Improving the performance would be beneficial."
"Oracle OBIEE is a product that is not easy to implement."
"Enhancements to existing OBI Components - Analysis, Connectors, Self-service BI, Performance."
"OBIEE is a little unstable in our environment. The server/service has to reboot/restart every couple days, otherwise, users will see errors when they access reports."
"The pricing model could be improved. Right now, it's quite confusing. Many customers have this feeling that it's a super-expensive option."
"They should make the dashboard more intuitive."
"The overall architecture of getting OBIEE up and running is complex and the sequence must be followed very attentively."
"Scalability is not that easy. We need to apply a batch. It would definitely take time to execute and to check all the reports or development work once the batch applied."
 

Pricing and Cost Advice

"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."
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"It is an expensive platform."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"The tool's pricing is not unreasonable or non-competitive."
"I would rate it a five out of five in terms of the value received for the price charge."
"Be prepared to spend a lot of time and money."
"The company had twenty-five Oracle OBIEE licenses and never expanded. Price-wise, the solution is expensive."
"The licensing cost for Oracle OBIEE is expensive."
"There are no additional costs, but there might be some charges for the Java feature."
"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."
"This was not an expensive product for us, although the price varies depending on conditions for each company."
"It is an expensive solution."
"The pricing we negotiated with Oracle. But, I do not have details."
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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
11%
Financial Services Firm
11%
Manufacturing Company
7%
Construction Company
6%
Financial Services Firm
17%
Government
9%
Manufacturing Company
6%
Construction Company
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: April 2026.
885,837 professionals have used our research since 2012.