Oracle Analytics Cloud vs Oracle Business Intelligence Cloud Service comparison

Oracle Analytics Cloud vs. Oracle Business Intelligence Cloud Service

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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 Business Intelligenc...

Ranking in BI (Business Intelligence) Tools

21st

Average Rating

7.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 1.4%, down from 2.4% compared to the previous year. The mindshare of Oracle Business Intelligence Cloud Service is 0.8%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Oracle Analytics Cloud	1.4%
Oracle Business Intelligence Cloud Service	0.8%
Other	97.8%

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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Ram Alla

BI Consultant at KPI Partners

Has supported secure report building and simplified data visualization for non-technical users

The features I find most useful in Oracle Business Intelligence Cloud Service include data visualization desktop for self-service reports. We can export using Excel and CSV files by dragging and dropping the columns to create reports. The drag-and-drop interface in Oracle Business Intelligence Cloud Service helps create dashboards for non-technical users as it is easy to use. By dragging and dropping columns, it creates a tabular view by default. We can convert these into many graphs and views such as pivot tables and other interactive graphical representations. I use self-service analytics in Oracle Business Intelligence Cloud Service.

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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

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

"It's great for consolidation and creating one source of truth."

"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."

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

"The stability of the product itself by virtue of the fact that it's a cloud product and Oracle is responsible for its hosting is valuable."

"The advanced calculations by the tool are highly effective"

"The dashboards, analytics, visualizations, and different reports are valuable for business analytics."

"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data."

More Oracle Analytics Cloud pros

"Its ease of use and the ability to drill down into detail are the most valuable. Executive dashboarding features are the most commonly used ones."

"Initial setup was straightforward."

"The most valuable features are user-friendly and self-service tools. Users can define their reports based on available data sets, with multiple dimensions and slide and dice data capabilities."

"The solution effectively integrates with third-party products."

"Its ease of use and the ability to drill down into detail are the most valuable, and executive dashboarding features are the most commonly used ones."

"This solution allowed us to consolidate information from the finance and supply chain systems into aggregate reporting, which had been very difficult to create in the past."

Cons

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

"The price of the solution could be lower."

"Its machine learning and visualization capabilities can be improved. There should be more visualization options."

"It is expensive."

"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. 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. In a complex environment or implementation, that is the capability that you need."

"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."

"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."

"It is less scalable than Snowflake."

More Oracle Analytics Cloud cons

"I didn't interact with them for this solution, but from a broader perspective, my experience with Oracle is that their tech support sits somewhere between low and fair."

"The dashboard could be improved and include additional features."

"In terms of data modeling, it could be simplified. Sometimes, it seems complicated. Also, the response time for data set refreshes could be faster to enhance the user experience."

"Quality of support varies."

"Some of the advanced analytics need work, and I believe there's an opportunity to improve or simplify the integration with data power users and data science users."

"When looking at web-based BI or cloud-based BI vendors, there should be abilities for power users to build deep analysis. If they are not data science tools, they are not for power users."

Pricing and Cost Advice

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

"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."

"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"

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

"It is an expensive platform."

More Oracle Analytics Cloud pricing and cost advice

"The solution's pricing is reasonable compared to other products."

"Oracle products are always going to be on the higher end of your price scale. You have to kind of accept that going in."

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Top Industries

By visitors reading reviews

Financial Services Firm

10%

Government

10%

Manufacturing Company

Construction Company

20%

Financial Services Firm

14%

Comms Service Provider

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

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...

What needs improvement with Oracle Business Intelligence Cloud Service?

As an expert, I can recommend that improvements could be made in Oracle Business Intelligence Cloud Service regarding cost. Compared to Power BI, it is significantly more expensive. I think the pri...

What is your primary use case for Oracle Business Intelligence Cloud Service?

The main use cases revolve around analytics which helps us with configured reports for AP, AR, and General Ledger. We have created several reports in Oracle Business Intelligence Cloud Service as R...

What advice do you have for others considering Oracle Business Intelligence Cloud Service?

I really recommend Oracle Business Intelligence Cloud Service itself. I recommend it because we can secure the data compared to other tools. We can connect with a self-service portal and create new...

Oracle OBIEE vs Oracle Analytics Cloud

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Compared 3% of the time

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Compared 8% of the time

Oracle OBIEE vs Oracle Business Intelligence Cloud Service

Compared 7% of the time

Microsoft Power BI vs Oracle Business Intelligence Cloud Service

Compared 7% of the time

More Oracle Business Intelligence Cloud Service Competitors

Product Reports

Oracle Analytics Cloud

Download Oracle Analytics Cloud product report

Oracle Business Intelligence Cloud Service

Download Oracle Business Intelligence Cloud Service product report

Oracle Business Intelligence Cloud Service report

Also Known As

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV

No data available

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 Business Intelligence Cloud Service provides a seamless platform offering self-service tools and executive dashboarding. Users can easily create reports using the drag-and-drop capability without technical expertise, simplifying data acquisition and reporting.

Designed for ease of use, Oracle Business Intelligence Cloud Service integrates well with third-party products, ensuring secure management. Its configuration and customization processes are straightforward, allowing for efficient data visualization and export to Excel or CSV formats. Retail organizations primarily use it for enterprise data warehouse analysis, financial analytics, and KPI monitoring.

What are the key features of Oracle Business Intelligence Cloud Service?

Drag-and-Drop Functionality: Simplifies report and dashboard creation without technical expertise.
Executive Dashboarding: Offers comprehensive insights for executives.
Seamless Integration: Provides strong compatibility with third-party products.
Data Visualization: Enhances reporting with varied export options.
Drill-Down Capabilities: Offers detailed data analysis.

What can users gain from Oracle Business Intelligence Cloud Service?

Ease of Use: User-friendly tools for swift report generation.
Efficient Data Handling: Simplified data acquisition and ingestion.
Enhanced Reporting: Facilitates advanced data visualization.
Security: Trusted integration with third-party systems for secure data management.

In retail, Oracle Business Intelligence Cloud Service aids in enterprise data analysis, financial analytics, and KPI tracking. Executives and analysts use it for diverse functions including project management, management reporting, and transactional data analysis. Configured for reports such as AP, AR, and General Ledger, it supports reporting and customer data requirements, accommodating extensive user access.

Oracle

Sample Customers

Sejong Hospital

Grant Thornton, FORTH, Anthem

Oracle Analytics Cloud vs. Oracle Business Intelligence Cloud Service