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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

"We use Analytics because we have a model for it which can be easily customized, and implementation time can be reduced because of this."
"This is a stable and scalable solution."
"The scalability is acknowledged as pretty good, although my evaluation is limited because I used the tool for a short period."
"The most valuable features of the solution are dashboarding and data visualization."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"Its scalability is really what makes it stand out; you can on the fly increase the processing capacity of your instance for as long as you need it and then bring it back to whatever minimum setting you had, all with no downtime, which is very impressive."
"It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."
"The best feature may be data flow, which is used to prepare and clean data."
"They are introducing AI. There are good forecasting features and machine learning."
"It mostly supports enterprise level data. We have millions of records on a daily basis."
"It allows us to bring data from key systems together and provide useful information in metric form to our leaders."
"We implement this for our customers who have seen multifold speedup in reporting and better visibility into their organizations."
"From an end-user perspective, it's a very user-friendly environment."
"It's easy to create fully-functional Dashboards."
"It is a nice tool that can be modeled for each and every requirement."
"In terms of features, everything is good. It is also stable and scalable."
 

Cons

"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."
"I looked at the predictive analytics feature in Oracle Analytics Cloud, but I used it very little because, everything considered, it does not add very much."
"The implementation of generative AI and machine learning should improve"
"When you implement the product on a small scale, it doesn't generate any ROI."
"However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth."
"We did not have a positive experience with technical support."
"The scalability has room for improvement."
"The interfaces could be improved and some in-memory operations could be built in."
"One feature I would definitely like to see is the ability to provide the in-memory data. Oracle might have some plugins but, as of now, that feature isn't available out-of-the-box. You might have to purchase that feature."
"The complexity of this product means that you need to have a technical team to develop the reports, although this is also true for products like Microsoft BI and Zoho."
"The quality of Oracle tech support depends: if you get a good person, it's very good; otherwise, it's very bad."
"It doesn't have too many self-service capabilities, but it is good for the purpose that it serves."
"From an improvement perspective, the technical team should be able to provide more accurate answers by taking into consideration the context of the issues faced by users."
"When a large number of queries are running at the same time, the report fails."
"The product does not provide an automatic system maintenance service, thus log files continue to be collected on the disk up until it is full and it causes the whole platform stop."
"It's a good tool, but its overall organization as an analytical tool, the layout of OBIEE, is not very good."
 

Pricing and Cost Advice

"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."
"It is an expensive platform."
"A highly cost-effective solution"
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
"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."
"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"The tool's pricing is not unreasonable or non-competitive."
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"Simplifying the data integration process would save our clients considerable costs."
"Power BI is less expensive than Oracle OBIEE. A benefit to Power BI is having the option to work with concurrent licensing."
"I think to spread this across an enterprise will be a significant investment."
"A person only needs to pay towards the subscription costs since it is a cloud-based solution. I use the free version of Oracle OBIEE."
"It is an expensive solution."
"There are no additional costs, but there might be some charges for the Java feature."
"Oracle products are extremely expensive."
"The cost of this solution is a little bit high compared with other products like Zoho, so reducing it would make OBIEE more competitive."
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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.
884,976 professionals have used our research since 2012.