Oracle Analytics Cloud vs Oracle OBIEE comparison

Oracle Analytics Cloud and Oracle OBIEE are both solutions in the BI (Business Intelligence) Tools category. Oracle Analytics Cloud is ranked #14 with an average rating of 8.0, while Oracle OBIEE is ranked #12 with an average rating of 7.0. Oracle Analytics Cloud holds a 1.3% mindshare in BIT, compared to Oracle OBIEE’s 1.4% mindshare. Additionally, 77% of Oracle Analytics Cloud users are willing to recommend the solution, compared to 87% of Oracle OBIEE users who would recommend it.

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

4,071 Views
2,728 Comparison Views

77% willing to recommend

Oracle OBIEE

Read 159 Oracle OBIEE reviews

7,498 Views
5,324 Comparison Views

87% willing to recommend

Oracle Analytics Cloud

Oracle OBIEE

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Executive SummaryUpdated on Feb 8, 2026

Oracle OBIEE and Oracle Analytics Cloud compete in the business intelligence and analytics category. While Oracle OBIEE excels in enterprise-level reporting capabilities, Oracle Analytics Cloud offers an edge with its modern BI approach, featuring self-service analytics and flexibility.

Features: Oracle OBIEE provides extensive enterprise-level reporting, semantic modeling, and integration with Oracle databases. Its dashboard capabilities and detailed analytics make it a leader in report generation. Oracle Analytics Cloud, however, stands out with powerful data visualization, machine learning features, and integration flexibility with various data sources, offering interactive dashboards suited for modern BI needs.

Room for Improvement: Oracle OBIEE needs improvement in update deployment speed, intuitive self-service BI tools, and mobile integration for real-time data. Its complex architecture needs skilled personnel for customization. Oracle Analytics Cloud could benefit from enhanced visualization options and more efficient scheduling processes. Also, simplifying data source integration and user interface improvements would help it compete better with tools like Power BI and Tableau.

Ease of Deployment and Customer Service: Oracle OBIEE primarily requires on-premises deployment, demanding significant infrastructure and expertise, which can be costly. Customer service has mixed reviews, with users reporting slow responses. Oracle Analytics Cloud provides more deployment options including public, private, and hybrid clouds, enhancing scalability and reducing infrastructure complexities, though users still find Oracle's support less responsive compared to competitors.

Pricing and ROI: Oracle OBIEE is considered expensive with high entry costs, suitable for large enterprises where its features justify the investment. Its pricing model is complex but offers ROI through decision-making and efficiency over time. On the other hand, Oracle Analytics Cloud, while still costly for smaller companies, is more competitively priced relative to its cloud benefits and provides more immediate cost advantages when considering scalability and user-friendliness.

To learn more, read our detailed Oracle Analytics Cloud vs. Oracle OBIEE Report (Updated: April 2026).

Buyer's Guide

Oracle Analytics Cloud vs. Oracle OBIEE

April 2026

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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

14th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (11th)

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 (7th)

Mindshare comparison

As of April 2026, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 1.3%, down from 2.3% compared to the previous year. The mindshare of Oracle OBIEE is 1.4%, down from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Oracle OBIEE	1.4%
Oracle Analytics Cloud	1.3%
Other	97.3%

BI (Business Intelligence) Tools

Featured Reviews

DavidMalizia

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.

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Abidali-Attar

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.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Technical support is very fast and accurate."

"The best feature may be data flow, which is used to prepare and clean data."

"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."

"This solution is not that well known by clients but is a great product to use."

"The technical support is excellent, and they respond quickly."

"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."

"The ability to quickly search for and access relevant data is crucial."

More Oracle Analytics Cloud pros

"I think having the conformed structures makes it a lot easier for end users and pulling reports together."

"Oracle OBIEE is good for data visualization and analytical reporting."

"Working as a BI Consultant, I have to develop different analyses, reports and dashboard documents to analyze the status of different business measures."

"I have not personally used any such products related to this service, however based on the popular opinion, Microsoft Power BI is more popular. We have never switched from this software due to infrastructure and license related costs. However, my team acknowledges that the Power BI is much more enhanced and includes features that are easier to use, including its drag and drop features. I am not sure, if OBIEE has these features, due to lack of updated versions."

"Once the tool is implemented, multiple teams want to exploit the tool, derive different business cases out of it and build different dashboards out of it."

"The most valuable feature of Oracle OBIEE, for me, would be the Web Catalog."

"The scalability of the product is good."

"Use OBIEE if you have large data to process for heavy duty applications."

More Oracle OBIEE pros

Cons

"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."

"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."

"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."

"When you want to scale up and improve the computing power, it becomes extremely costly."

"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."

"The interfaces could be improved and some in-memory operations could be built into Oracle Analytics."

"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."

"This solution could be more adaptable in its application."

More Oracle Analytics Cloud cons

"The OBIEE tool can only be used in enterprise-level companies; it is not suitable for small and medium-sized companies because of the cost and the complexity that requires a technical team to install it and develop the reports."

"In the on-premises version, the feature for connecting and selecting the data between the databases looks a bit cumbersome, and the person who is using it takes a lot of time to design a data warehouse."

"Certainly the look and feel of the user interface is something should be improved further."

"The technical support is not as good as before. They used to have very good support five to six years ago, but the support is now hectic and takes too much time to resolve issues."

"Implementation is cumbersome and requires expertise."

"There could be better integration with other solutions, such as Microsoft Office."

"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."

"It could be more user-friendly. For example, the RPD layer could be more straightforward. From a user's point of view, the visualization, especially the graphs, are not as attractive when compared to other tools like QlikView and Qlik Sense."

More Oracle OBIEE cons

Pricing and Cost Advice

"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."

"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."

"A highly cost-effective solution"

"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."

"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."

"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."

More Oracle Analytics Cloud pricing and cost advice

"There are no additional costs, but there might be some charges for the Java feature."

"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."

"I think to spread this across an enterprise will be a significant investment."

"It's comparable to the current technology we're using, Qlik Sense."

"I would rate it a 4 out of 5 in terms of pricing."

"It's expensive."

"It is an expensive solution."

"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."

More Oracle OBIEE pricing and cost advice

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Comparison Review

it_user79932

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…

Read full review

Top Industries

By visitors reading reviews

Government

11%

Financial Services Firm

10%

Manufacturing Company

Construction Company

Financial Services Firm

17%

Government

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	7
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	40
Midsize Enterprise	34
Large Enterprise	103

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...

See all answers

What do you like most about Oracle Analytics Cloud?

The ability to quickly search for and access relevant data is crucial.

See all answers

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...

See all answers

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 ...

See all answers

What is your experience regarding pricing and costs for Oracle OBIEE?

Oracle OBIEE is quite expensive, especially when compared to Microsoft's solutions.

See all answers

What needs improvement with Oracle OBIEE?

See all answers

Comparisons

Microsoft Power BI vs Oracle Analytics Cloud

Compared 8% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 7% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 7% of the time

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 5% of the time

Qlik Sense vs Oracle Analytics Cloud

Compared 4% of the time

More Oracle Analytics Cloud Competitors

Microsoft Power BI vs Oracle OBIEE

Compared 9% of the time

Tableau Enterprise vs Oracle OBIEE

Compared 7% of the time

SAP BusinessObjects Business Intelligence vs Oracle OBIEE

Compared 6% of the time

QlikView vs Oracle OBIEE

Compared 4% of the time

IBM Cognos vs Oracle OBIEE

Compared 4% of the time

More Oracle OBIEE Competitors

Product Reports

Buyer's Guide

Oracle Analytics Cloud

April 2026

Download Oracle Analytics Cloud product report

Buyer's Guide

Oracle OBIEE

April 2026

Download Oracle OBIEE product report

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

Oracle Analytics Cloud offers enterprise-grade dashboarding, visualization, and data integration with machine learning and NLP capabilities. Its cloud infrastructure supports data preparation, predictive analysis, and business analytics, enhancing decision-making for global users.

Oracle Analytics Cloud excels in providing a comprehensive platform for financial, procurement, and HR analytics. It integrates seamlessly with systems like ERP and Primavera, allowing users to develop dashboards for financial status, personal data management, and predictive sales analysis. Known for its ease of use and capacity to handle large data volumes, it supports enterprise-level transactions across financials and logistics, offering stakeholders valuable insights. However, improvements are needed in visualization variety, cost efficiency, and performance speed. Certain areas such as connectors, data modeling features, flexibility, and support resources require enhancement.

What are the most significant features of Oracle Analytics Cloud?

Enterprise-Grade Dashboarding: Offers robust visualization and reporting capabilities.
Data Visualization: Provides intuitive visual tools for data analysis.
Data Integration: Seamlessly connects with ERP, Primavera, and other systems.
Machine Learning: Incorporates ML for smarter analytics and predictions.
Natural Language Processing: Simplifies search and data queries with NLP.
Automatic Dashboards: Generates dashboards through the Explain function.

What are the key benefits and ROI of choosing Oracle Analytics Cloud?

Ease of Use: User-friendly interface simplifies data analysis for teams.
Scalability: Handles large data volumes and grows with business needs.
Fast Performance: Quickly processes and analyzes data to aid decision-making.
Secure Business Analytics: Offers secure data preparation and analysis.

In industries like finance, procurement, and HR analytics, Oracle Analytics Cloud supports decision-making by integrating with existing systems such as ERP and Primavera. Users create dashboards for assessing financial status and predicting sales, aiding business intelligence and enterprise transactions, especially in financials and logistics.

Oracle

Oracle OBIEE offers interactive dashboards, robust reporting, and seamless integration with diverse data sources. It provides powerful visualizations and enterprise-level security, making it ideal for large-scale data handling and insightful analysis.

Oracle OBIEE is a comprehensive business intelligence and analytics platform, valued for its ability to integrate seamlessly with multiple data sources and deliver powerful visualizations, including map-based options. Users appreciate its flexible custom report creation, centralized metadata management, and enterprise-level security. This platform facilitates self-service analytics, minimizing IT dependency. Despite these strengths, there are areas for improvement, such as simplifying navigation to ease report creation and data visualization. Performance issues with large datasets and integration challenges with external applications are noted. Enhancements in documentation, support, and the modernization of visualizations could make it even more effective. Licensing costs are high, suggesting a need for architectural simplification and advanced analytics features.

What are the key features of Oracle OBIEE?

Interactive Dashboards: Enables dynamic data exploration and real-time updates.
Ad Hoc Analysis: Supports quick, custom report creation without IT intervention.
Centralized Metadata Management: Ensures consistency and accuracy across data sources.
Enterprise-Level Security: Protects sensitive data and complies with industry standards.
Map-Based Visualizations: Offers geographical data representation for better insights.

What benefits should users look for in reviews?

Data Integration: Seamless connection with diverse data sources enhances flexibility.
Analytical Flexibility: Self-service capability reduces IT dependency.
Scalability: Efficient data modeling supports large-scale enterprise needs.
Insightful Analysis: Robust reporting tools enable data-driven decision-making.

Oracle OBIEE is utilized across industries for data reporting, business intelligence, and analytics. Companies create dashboards for sales performance monitoring, financial product analysis, and operational and financial reports generation. It supports departments like finance, marketing, and HR, facilitating enterprise-wide reporting and enhancing business intelligence capabilities.

Oracle

Sample Customers

Sejong Hospital

Banca Transilvania, BeckmanCoulter, Hong Kong Housing Society, HealthShare, Ivanhoe Cambridge Unifies, and Home Credit, and Finance Bank.

Buyer's Guide

Oracle Analytics Cloud vs. Oracle OBIEE

April 2026

Free Report: Oracle Analytics Cloud vs. Oracle OBIEE

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