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 #18 with an average rating of 8.0, while Oracle OBIEE is ranked #17 with an average rating of 6.7. Oracle Analytics Cloud holds a 1.4% mindshare in BIT, compared to Oracle OBIEE’s 1.8% 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

5,572 Views
3,845 Comparison Views

77% willing to recommend

Oracle OBIEE

Read 159 Oracle OBIEE reviews

10,272 Views
7,088 Comparison Views

87% willing to recommend

Oracle Analytics Cloud

Oracle OBIEE

Comparison Buyer's Guide

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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: June 2026).

Buyer's Guide

Oracle Analytics Cloud vs. Oracle OBIEE

June 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

18th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (16th)

Oracle OBIEE

Ranking in BI (Business Intelligence) Tools

17th

Average Rating

7.8

Reviews Sentiment

5.7

Number of Reviews

159

Ranking in other categories

Reporting (11th)

Mindshare comparison

As of July 2026, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 1.4%, down from 2.6% compared to the previous year. The mindshare of Oracle OBIEE is 1.8%, down from 3.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Oracle OBIEE	1.8%
Oracle Analytics Cloud	1.4%
Other	96.8%

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.

Read full review

Quotes from Members

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

Pros

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

"It's rather user-friendly."

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

"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."

"Oracle Analytics DV is amazing as it's giving the power to the users without involving IT."

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

"Depending on the needs of business to business, but as far a visualizations are concerned, this is a good product."

"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."

More Oracle Analytics Cloud pros

"The most valuable feature for us is the flexibility for somebody who's not in IT to be able to create a report."

"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."

"I like the architecture of this solution. RPV is a powerful feature in Oracle OBIEE. It lets us design as per the needs of the organization. I can have multiple presentation folders and presentation layers. I can have customization in a single node in VMware, which is a very good feature of Oracle OBIEE. It helps customers in designing as per their requirements."

"For building charts and graphical representations, we don't have to do much work, so in that area it's good."

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

"The scheduling function is the most valuable feature; we can schedule at specific times to generate specific reports and email them to the mailbox of the end users."

"The best feature of the Virtual C, of course, is data visualization."

"It mostly supports enterprise level data. We have millions of records on a daily basis."

More Oracle OBIEE pros

Cons

"They could improve the ease of developing the dashboard and interacting with it."

"The product could benefit from increased flexibility compared to other vendors."

"When you implement the product on a small scale, it doesn't generate any ROI."

"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."

"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."

"We did not have a positive experience with technical support."

"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."

"The price of the solution could be lower."

More Oracle Analytics Cloud cons

"Oracle OBIEE has a steep learning curve compared to tools like SQL Server or Power BI. In situations where complex problem-solving is required, Oracle's support tends to direct users to sales representatives with limited technical knowledge, which is less than ideal."

"It is not a good product for data visualization, and its functionality is lacking."

"BI Publisher can be a little unstable."

"When using Essbase, queries accumulated in the BI server and degraded its performance."

"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."

"Essbase integration needs to be worked on."

"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."

"Setup and migration are very complex. Technically, Oracle accessory is extremely complex. These days, the industry demands a kind of Excel analysis, which is very easy to install, set up, and it's very developer-friendly as well as end-user friendly. OBIEE lacks all those features."

More Oracle OBIEE cons

Pricing and Cost Advice

"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."

"The tool's pricing is not unreasonable or non-competitive."

"We pay on a monthly basis and it is $10 per user each month."

"I would rate it a five out of five in terms of the value received for the price charge."

"A highly cost-effective solution"

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

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

"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."

More Oracle Analytics Cloud pricing and cost advice

"Be prepared to spend a lot of time and money."

"All products from Oracle are very pricey."

"The pricing we negotiated with Oracle. But, I do not have details."

"For the license in part of Oracle, my company makes yearly payments."

"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."

"Power BI is less expensive than Oracle OBIEE. A benefit to Power BI is having the option to work with concurrent licensing."

"Pricing is an area that could be improved."

"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."

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

Financial Services Firm

10%

Government

10%

Manufacturing Company

Construction Company

Financial Services Firm

16%

Construction Company

11%

Outsourcing Company

Manufacturing 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	41
Midsize Enterprise	34
Large Enterprise	105

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...

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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...

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What needs improvement with Oracle Analytics Cloud?

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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

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 6% of the time

Zoho Analytics vs Oracle Analytics Cloud

Compared 6% of the time

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 6% of the time

Microsoft Power BI vs Oracle Analytics Cloud

Compared 6% of the time

More Oracle Analytics Cloud Competitors

Microsoft Power BI vs Oracle OBIEE

Compared 7% 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

IBM Cognos vs Oracle OBIEE

Compared 5% of the time

Panorama Necto vs Oracle OBIEE

Compared 4% of the time

More Oracle OBIEE Competitors

Product Reports

Buyer's Guide

Oracle Analytics Cloud

July 2026

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Buyer's Guide

Oracle OBIEE

July 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

June 2026

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