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 #13 with an average rating of 7.0. Oracle Analytics Cloud holds a 1.4% mindshare in BIT, compared to Oracle OBIEE’s 1.7% 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

5,265 Views
3,633 Comparison Views

77% willing to recommend

Oracle OBIEE

Read 159 Oracle OBIEE reviews

9,720 Views
6,707 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 (14th)

Oracle OBIEE

Ranking in BI (Business Intelligence) Tools

13th

Average Rating

7.8

Reviews Sentiment

5.7

Number of Reviews

159

Ranking in other categories

Reporting (7th)

Mindshare comparison

As of June 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 1.7%, down from 3.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Oracle OBIEE	1.7%
Oracle Analytics Cloud	1.4%
Other	96.9%

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

"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."

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

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

"We use Analytics because we have a model for it which can be easily customized, and implementation time can be reduced because of this."

"Using this tool, we were able to forget about using Excel and keep using it as the only source of data."

"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."

"Oracle Analytics Cloud allowed us to deliver faster analytics and to have a self-secured, self-tuning, self-maintained platform."

"Mobility is the most valuable feature for us, as all employees can access it from anywhere, which is a big advantage for us."

More Oracle Analytics Cloud pros

"It's easy to use for business analysts."

"Having up-to-date, current data for the executives and the managers that make decisions allows them to make more accurate decisions and helps us leverage our business."

"The most valuable feature is the openness of the solution, as it helps us integrate some of our clients."

"We have scheduled reports delivered automatically to our business users using enterprise features."

"In 2006, we bought Oracle BI, eliminated all those different reports and were able to create a single source of truth."

"I think the most valuable features are the ability to drill down, the graphs, and the scheduling for the reports to be received in Excel on a daily basis. Users like Excel, so it's good for them that they receive the reports by email, that they don't have to specify the schedule."

"It allows us to providing our customers an excellent solution for their business requirements."

"It's important to have an understanding of your requirements because if people are looking for visualization and realization, this is a very good solution that can work with thousands of users generally and can work on billions and billions of records."

More Oracle OBIEE pros

Cons

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

"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."

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

"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."

"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."

"Its FAW feature has limitations in terms of usage."

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

"This product does not support custom charts in the visualization."

More Oracle Analytics Cloud cons

"The graphical capabilities could be better. They are also cumbersome, and they are limited compared to Tableau, Power BI, or even Business Objects to a certain extent and Cognos. The error logging isn't great either. The errors that come out when you schedule aren't easy to understand. I find how they filter within a query quite cumbersome and difficult to debug if somebody else has done it. You can see as you build, and I think that's where the problem is. It doesn't lend itself to debug something. For example, if you create a formula that's quite complicated, it's not easy to understand what goes with what. It becomes spaghetti, and it's very difficult to unpick. That's really my gripe about it, and in some ways, it's too flexible. It tries to be a Jack of all trades when it's not. I think a lot of these products, if they concentrate on trying to produce your reports, then that's fine. But when they're trying to do all sorts of other things as well, then it isn't very easy. We get lots of support from Oracle, but I think the problem is that we get many invalid file operations. Nobody understands why. It can be a multitude of reasons, but no one reason could cause it. That's just one of the issues we've had in the last year. But the scope of reporting has gone through the roof over the previous 12 to 18 months. We want an end-of-life OBIEE in our environment because some of the infrastructure runs unclustered. We weren't allowed to go clustered for some reason, and we never knew why. Unfortunately, going down that route means that the platform we run it on, WebLogic, has now become non-standard within our organization. Everything's been moved off it and onto other platforms. Unfortunately, our OBIEE runs on that platform, and we're being pushed down different routes, and we don't know where we're going at the moment. Within the next two years, I don't think we'll have OBIEE in our part of the business. In the next release, I think having the capability of being able to develop and then promote to a production environment rather than having to have separate environments will help. I know that Tableau and Power BI can be created on a desktop application, and then when it's ready to go live, you can promote it."

"An area for improvement is that Oracle pushes more users to Oracle BI Publisher rather than emphasizing Oracle OBIEE for reporting. The pricing for Oracle OBIEE could be improved."

"Sometime copy-paste of report metadata is quite complicated."

"The visualizations and usability aspects in this product can be improved a lot."

"The overall architecture of getting OBIEE up and running is complex and the sequence must be followed very attentively."

"There should be more integration in the solution. For example, there should be one solution with multiple functionalities so that other solutions are not needed. Having one solution with all the needed functionality would be helpful."

"If you have a lot of Oracle products, they would conflict if they are running the same box due to code names, code numbers, and pretty much use the same numbers."

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

More Oracle OBIEE cons

Pricing and Cost Advice

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

"It is an expensive platform."

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

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

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

"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."

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

More Oracle Analytics Cloud pricing and cost advice

"It's expensive."

"This was not an expensive product for us, although the price varies depending on conditions for each company."

"Oracle products are extremely expensive."

"It is high."

"It is reasonable, but it depends on how you're going to use it. There are no costs in addition to the standard licensing fees."

"All products from Oracle are very pricey."

"This is a very costly product."

"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."

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%

Manufacturing Company

Government

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?

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

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 7% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 7% 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

Zoho Analytics vs Oracle Analytics Cloud

Compared 5% of the time

More Oracle Analytics Cloud Competitors

Microsoft Power BI vs Oracle OBIEE

Compared 8% 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

June 2026

Download Oracle Analytics Cloud product report

Buyer's Guide

Oracle OBIEE

June 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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