Try our new research platform with insights from 80,000+ expert users

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 really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"The technical support services are good."
"I have found that the scalability quality of Oracle Analytics Cloud works extremely well."
"Oracle Analytics Cloud is not very user-friendly, however, it is robust and capable of performing a wide range of tasks."
"A valuable feature is the speed of the solution."
"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."
"This is a stable and scalable solution."
"The technical support is excellent, and they respond quickly."
"The technical support services are good."
"The most valuable feature of Oracle OBIEE is its ease of use."
"The most valuable feature is the openness of the solution. It helps us integrate some of our clients."
"Ability to create our own reports."
"The most valuable feature of Oracle OBIEE is it's designed for Oracle. It works well in the Oracle environment and can sit on top of any application."
"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."
"I like the cloud deployment feature. There are about 20 new features, and they are available on mobile and more. I haven't used any of them, but these features are highly attractive."
"It has helped to consolidate data and report on a single version of the truth."
 

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."
"The implementation of generative AI and machine learning should improve"
"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 could benefit from increased flexibility compared to other vendors."
"They could improve the ease of developing the dashboard and interacting with it."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"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."
"The interfaces could be improved and some in-memory operations could be built in."
"BI Server"
"Oracle OBIEE is a product that is not easy to implement. The product is also not easy to use."
"The performance could improve and in a future release, they could provide more virtualization options."
"When evaluating cost, Tableau and Power BI are less costly compared to Oracle OBIEE, which is an important consideration when assessing cost-effectiveness and return on investment."
"It is complex for designing RPD, and it can be simpler. Their support can also be improved in terms of response time."
"This solution is weak in the data science perspective. I have past data science experience. And, I find that there is a lot of room for improvement in terms of incorporating more advanced statistical modeling into the product."
"The pricing model could be improved. Right now, it's quite confusing. Many customers have this feeling that it's a super-expensive option."
"The solution needs to be easier to scale."
 

Pricing and Cost Advice

"I would rate it a five out of five in terms of the value received for the price charge."
"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."
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"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."
"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."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"The company had twenty-five Oracle OBIEE licenses and never expanded. Price-wise, the solution is expensive."
"Simplifying the data integration process would save our clients considerable costs."
"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."
"The licensing cost is based on the number of users using it."
"All products from Oracle are very pricey."
"Its licensing is yearly."
"Compared with the other products in the market, I feel Oracle OBIEE is an expensive product."
"Oracle products are extremely expensive."
report
Use our free recommendation engine to learn which BI (Business Intelligence) Tools solutions are best for your needs.
883,619 professionals have used our research since 2012.
 

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
13%
Financial Services Firm
9%
Manufacturing Company
8%
Computer Software Company
7%
Financial Services Firm
15%
Government
10%
Manufacturing Company
7%
University
7%
 

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.
883,619 professionals have used our research since 2012.