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Oracle Analytics Cloud Reviews

Vendor: Oracle
4.0 out of 5
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What is Oracle Analytics Cloud?

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.

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Oracle Analytics Cloud is the #11 ranked solution in top Data Visualization solutions and #14 ranked solution in top Business Intelligence Tools. PeerSpot users give Oracle Analytics Cloud an average rating of 8.0 out of 10. Oracle Analytics Cloud is most commonly compared to Microsoft Power BI: Oracle Analytics Cloud vs Microsoft Power BI. Oracle Analytics Cloud is popular among the large enterprise segment, accounting for 51% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 10% of all views.
Buyer's Guide
Oracle Analytics Cloud
April 2026
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Oracle Analytics Cloud mindshare

Product category:
BI (Business Intelligence) Tools
As of May 2026, the mindshare of Oracle Analytics Cloud in the BI (Business Intelligence) Tools category stands at 1.4%, down from 2.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Oracle Analytics Cloud1.4%
Microsoft Power BI8.1%
Tableau Enterprise6.2%
Other84.3%
BI (Business Intelligence) Tools

PeerResearch reports based on Oracle Analytics Cloud reviews

TypeTitleDate
CategoryBI (Business Intelligence) ToolsMay 9, 2026Download
ProductReviews, tips, and advice from real usersMay 9, 2026Download
ComparisonOracle Analytics Cloud vs Microsoft Power BIMay 9, 2026Download
ComparisonOracle Analytics Cloud vs Tableau EnterpriseMay 9, 2026Download
ComparisonOracle Analytics Cloud vs SAP Business Data CloudMay 9, 2026Download
Suggested products
TitleRatingMindshareRecommending
Microsoft Power BI4.08.1%93%331 interviewsAdd to research
Tableau Enterprise4.26.2%90%309 interviewsAdd to research
 
 
Key learnings from peers
Last updated Mar 1, 2026

Valuable Features

Oracle Analytics Cloud offers powerful data visualization, excellent scalability, and ease of use for simple tasks. It supports multiple data sources, machine learning, rapid dashboard creation, and NLP for fast data access. Its user-friendly interface and stability make it ideal for enterprises. The platform is secure, mobile-friendly, and supports advanced analytics with minimal setup time. The metadata-driven approach and seamless data integration enhance data exploration and business intelligence.
  • "Mobility is the most valuable feature for us, as all employees can access it from anywhere, which is a big advantage for us."
  • "The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data."
  • "This solution is not that well known by clients but is a great product to use."

Room for Improvement

Oracle Analytics Cloud can improve user-friendliness and increase flexibility. Users suggest enhancements in visualization features, machine learning capabilities, and connector availability. Cost efficiency and dashboard interactivity require attention. Metadata management and data modeling need to be more robust. Interface intuitiveness and pricing competitiveness are areas of concern, especially compared to other tools like Power BI. Faster service startup times and better educational resources would enhance user experience.
  • "Its machine learning and visualization capabilities can be improved. There should be more visualization options."
  • "Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
  • "This solution could be more adaptable in its application."

Pricing

Enterprise buyers find Oracle Analytics Cloud pricing flexible and beneficial with scale; bulk purchasing reduces costs significantly compared to its competitors like Microsoft and Tableau. While considered expensive by some, others see it as a cost-effective solution especially when factoring in its speed and performance benefits. Pricing per user can start at $10 monthly, but overall costs can be perceived as high. The solution is overall adaptable, with no hidden fees besides standard licensing.
  • "A highly cost-effective solution"
  • "Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
  • "The tool's pricing is not unreasonable or non-competitive."

Popular Use Cases

Companies primarily use Oracle Analytics Cloud for financial, procurement, and HR analytics with a focus on data visualization and reporting. It serves enterprise-size businesses and provides reporting and analytics tools for sections like E-Business Suite. Users apply it to create dashboards, pages, and reports for management reporting and decision-making processes. Client use cases include financial reporting, project management analytics with Primavera, and machine learning applications for sales and employee efficiency analysis.

Service and Support

Users express mixed opinions on Oracle Analytics Cloud's customer service and support. Some highlight a positive experience, rating technical support highly, citing prompt solutions and effective responses. Others note slower response times, particularly for on-premises installations. Technical support for the cloud version is often described as better compared to the server version. Feedback varies globally, with some regional users finding it less accessible. Overall, perceptions vary from excellent help to needing improvements in speed and user-friendliness.

Deployment

Oracle Analytics Cloud's initial setup is typically straightforward and quick, especially for cloud installations. For on-premise, it is more complex and time-consuming. Experienced teams find it manageable, whereas beginners may face challenges. Configuring user permissions and handling large data sets can add complexity. Deployment time varies significantly; some complete it in a few hours, while others may take weeks or months. Proper expertise and support can enhance the setup experience.

Scalability

Oracle Analytics Cloud scales effectively, handling thousands of users in various organizations. Users find its scalability impressive, noting the ease of scaling up or down without downtime. Many appreciate the possibility of increasing processing capacity on-demand. Some express concern about escalating costs as usage grows. Ratings range mostly high, with some comparing it favorably to competitors, though a few users find it less scalable or more costly. Frequent updates enhance its scalability capabilities.

Stability

Oracle Analytics Cloud is considered quite stable, with most users rating its stability between eight and ten. Many have experienced no major issues, noting it as a mature and reliable platform. Some point out potential improvement areas, like model standardizations and communication with the database, but these do not significantly detract from its overall stability. Most users report sustained stability, with Oracle Analytics Cloud described as a robust and dependable platform for continuous use.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Oracle Analytics Cloud Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business11
Midsize Enterprise6
Large Enterprise9
By reviewers
By visitors reading reviews
Company SizeCount
Small Business132
Midsize Enterprise66
Large Enterprise202
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
10%
Government
10%
Manufacturing Company
9%
Construction Company
6%
University
6%
Healthcare Company
5%
Media Company
5%
Comms Service Provider
5%
Educational Organization
5%
Energy/Utilities Company
5%
Computer Software Company
4%
Retailer
4%
Insurance Company
4%
Performing Arts
3%
Outsourcing Company
2%
Legal Firm
2%
Transportation Company
2%
Non Profit
2%
Recreational Facilities/Services Company
2%
Wholesaler/Distributor
1%
Hospitality Company
1%
Marketing Services Firm
1%
Real Estate/Law Firm
1%
Aerospace/Defense Firm
1%

Compare Oracle Analytics Cloud with alternative products

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Learn more about Oracle Analytics Cloud

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 Analytics Cloud was previously known as Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV.

Oracle Analytics Cloud customers

Sejong Hospital

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BI tools for tactical decision-making?

Product Categories

Product Categories
BI (Business Intelligence) Tools
Data Visualization

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Oracle Analytics Cloud Reviews Summary
Author infoRatingReview Summary
Head Of Data And Ai at a tech services company with 11-50 employees4.5I’ve used Oracle Analytics Cloud for years; it scales extremely well and enables quick, good-looking dashboards with strong data visualization and discovery. It’s stable, but advanced calculations, time-series features, permissions, and measure creation are awkward, and support is slower than before.
BI/DW Consultant at Neit Consulting4.0I have extensive experience with Oracle Analytics Cloud, which offers strong metadata-driven reporting and enterprise scalability, but its pricing is a drawback compared to competitors like Power BI, especially in our Czech Republic market.
Managing Director at Grupo DIMAKERS3.5I used Oracle Analytics Cloud for predictive sales cycle timing, finding it robust yet not user-friendly. Skilled personnel are necessary due to its complexity and high learning curve. We're considering simpler alternatives due to slow performance and limited user support.
Technical Consultant at AAK5.0At our company, we use Oracle Analytics Cloud for building dashboards, reports, and data visualizations, aiding decision-making. Its fast, hardware-free operation with advanced calculations and strong security are beneficial, especially in Supply Chain Management. Generative AI and machine learning integration could enhance it further.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees4.0I used Oracle Analytics Cloud to create dashboards that integrate data from various business areas, benefiting from its efficient machine learning support and visualization. However, migrating older tools and managing metadata remains cumbersome compared to other solutions like Tableau.
General Manager at Ruby Ezate Ltd.5.0Oracle Analytics Cloud plays a vital role in guiding decision-making through intuitive dashboards and predictive analysis. While it empowers decision-makers, improvements are needed in data extraction processes and connectivity for a more user-friendly experience.
Managing Principal Consultant at a tech services company with 201-500 employees4.0My company's clients use Oracle Analytics Cloud for data warehousing, valuing its dashboarding and data visualization features. However, improvements are needed in scheduling processes and data visualization integration, as new visualizations are challenging to use with historical data.
Data Engineer at Systems Limited3.5I am receiving training for Oracle Analytics Cloud, focusing on FAW data augmentation and semantic modeling. The FAW feature requires fusion application access, and while its on-premises version lags behind Power BI, it excels in data augmentation capabilities.