Try our new research platform with insights from 80,000+ expert users
Oracle Analytics Cloud Logo

Oracle Analytics Cloud Reviews

Vendor: Oracle
4.0 out of 5
Leave a review

What is Oracle Analytics Cloud?

Oracle Analytics is a complete platform with ready-to-use services for a wide variety of workloads and data.

Oracle Analytics allows businesses to add AI and machine learning capabilities to any application—and as part of our integrated suite of cloud services to comply with data security and connected without disrupting business operations.

Offering valuable, actionable insights from all types of data—in the cloud, on-premises, or in a hybrid deployment—Oracle Analytics empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions.

Get the Oracle Analytics Cloud Buyer's Guide and find out what your peers are saying about Oracle Analytics Cloud, Microsoft Power BI, Tableau Enterprise and more!
Oracle Analytics Cloud is the #10 ranked solution in top Data Visualization solutions and #13 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 56% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a government, accounting for 12% of all views.
Buyer's Guide
Oracle Analytics Cloud
February 2026
Get the report
Helped 883,760 peers since 2012

Featured Oracle Analytics Cloud reviews

Read more reviews

Oracle Analytics Cloud mindshare

Product category:
BI (Business Intelligence) Tools
As of March 2026, the mindshare of Oracle Analytics Cloud in the BI (Business Intelligence) Tools category stands at 1.2%, down from 2.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Oracle Analytics Cloud1.2%
Microsoft Power BI9.3%
Tableau Enterprise6.7%
Other82.8%
BI (Business Intelligence) Tools

PeerResearch reports based on Oracle Analytics Cloud reviews

TypeTitleDate
CategoryBI (Business Intelligence) ToolsMar 10, 2026Download
ProductReviews, tips, and advice from real usersMar 10, 2026Download
ComparisonOracle Analytics Cloud vs Microsoft Power BIMar 10, 2026Download
ComparisonOracle Analytics Cloud vs Tableau EnterpriseMar 10, 2026Download
ComparisonOracle Analytics Cloud vs Amazon QuickSightMar 10, 2026Download
Suggested products
TitleRatingMindshareRecommending
Microsoft Power BI4.09.3%93%328 interviewsAdd to research
Tableau Enterprise4.26.7%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.
  • "I have found that the scalability quality of Oracle Analytics Cloud works extremely well."
  • "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."
  • "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."

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.
  • "I looked at the predictive analytics feature in Oracle Analytics Cloud, but I used it very little because, everything considered, it does not add very much."
  • "The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment."
  • "The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment."

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 Business119
Midsize Enterprise45
Large Enterprise213
By visitors reading reviews

Top industries

By visitors reading reviews
Government
12%
Financial Services Firm
9%
Manufacturing Company
8%
Computer Software Company
7%
University
6%
Energy/Utilities Company
5%
Educational Organization
5%
Media Company
5%
Retailer
4%
Comms Service Provider
4%
Healthcare Company
4%
Insurance Company
4%
Performing Arts
3%
Legal Firm
3%
Transportation Company
2%
Outsourcing Company
2%
Hospitality Company
2%
Marketing Services Firm
2%
Non Profit
2%
Recreational Facilities/Services Company
2%
Wholesaler/Distributor
2%
Real Estate/Law Firm
1%
Construction Company
1%
Logistics Company
1%
Wellness & Fitness Company
1%
Aerospace/Defense Firm
1%
Engineering Company
1%
Consumer Goods Company
1%
Pharma/Biotech Company
1%

Compare Oracle Analytics Cloud with alternative products

Go!

Learn more about Oracle Analytics Cloud

Oracle Analytics Cloud Features

Oracle Analytics Cloud has many valuable key features. Some of the most useful ones include:

  • Intelligent search
  • Smart data discovery
  • Smart data preparation
  • Natural language
  • Auto suggest
  • Visualization
  • Dashboarding
  • Global transformation policies
  • Smart collaboration
  • Integrated data science
  • Enterprise architecture and security
  • Platform extensibility
  • Smart data connectors

Oracle Analytics Cloud Benefits

There are many benefits to implementing Oracle Analytics Cloud. Some of the biggest advantages the solution offers include:

  • Flexibility: Oracle Analytics Cloud gives you the flexibility to grow and change as your business does. At the same time, it puts you in complete control of your analytics environment by allowing you to analyze data and accommodate changing demand easily.
  • Scalable: Oracle Analytics Cloud is a single, centralized solution that provides everything you need in a scalable environment to support varied user requirements for your organization right now and in the future as well.
  • Comprehensive analytics: With Oracle Analytics Cloud, existing services are combined with new ones to deliver comprehensive analytics in the cloud. It provides everything you need for analytic agility, from fast, fluid self-service discovery to data loading and blending, inline data prep, data enrichment, automatic visualizations, data storytelling, and more.
  • Cost-effectiveness: The solution is cost-effective and reduces your total cost of ownership (TCO).
  • Innovation: Use the latest data analytics technologies, such as AI, machine learning, and natural language processing. Oracle Analytics has been recognized by industry experts for its innovations and robust architecture.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Analytics Cloud solution.

Fabricio Q., Data Analytics Manager, says, “The main functionality is great and everything is pretty standard and easy to use. It's great for consolidation and creating one source of truth. The initial setup is pretty straightforward.”

PeerSpot user, Eric B., Independent Consultant - Oracle BI Applications at Desjardins, mentions “It's really an enterprise solution. It has standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution.”

Gaurav S., Vice President Credit Risk Management at a financial services firm, explains, “From a financial or bank perspective, this product is secure enough. The dashboards, analytics, visualizations, and different reports are valuable for business analytics. The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.”

Another reviewer, Trinh P., Delivery Manager at Sift Ag, comments, "The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."

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

Related questions

  • 98
What is the difference between Oracle Analytics Cloud and Oracle OBIEE?
  • 544
What is the difference between Oracle Analytics Server and Oracle OBIEE?
  • 13
Which Oracle product is better - OBIEE or Analytics Cloud?
  • 75
When evaluating Business Intelligence Tools, what aspect do you think is the most important to look for?
  • 53
BI Tool Replacements, What Do You Recommend?
  • 53
Which one is best for ETL - Pentaho or Jaspersoft?
  • 25
Seeking advise on going with Birst, BOARD or Pentaho as an OEM platform solution where we could end up with 1,000's of users over time.
  • 49
BI Tool Evaluation Criteria Rating Matrix -- anyone have one they've used in making a tool selection?
  • 68
QlikView or Tableau - Which is better?
  • 33
BI tools for tactical decision-making?

Product Categories

Product Categories
BI (Business Intelligence) Tools
Data Visualization

Popular Comparisons

Popular Comparisons
Microsoft Power BI vs Oracle Analytics Cloud Logo
Microsoft Power BI vs Oracle Analytics Cloud
Tableau Enterprise vs Oracle Analytics Cloud Logo
Tableau Enterprise vs Oracle Analytics Cloud
Teradata vs Oracle Analytics Cloud Logo
Teradata vs Oracle Analytics Cloud
IBM Cognos vs Oracle Analytics Cloud Logo
IBM Cognos vs Oracle Analytics Cloud
Amazon QuickSight vs Oracle Analytics Cloud Logo
Amazon QuickSight vs Oracle Analytics Cloud
Domo vs Oracle Analytics Cloud Logo
Domo vs Oracle Analytics Cloud
Qlik Sense vs Oracle Analytics Cloud Logo
Qlik Sense vs Oracle Analytics Cloud
SAP Analytics Cloud vs Oracle Analytics Cloud Logo
SAP Analytics Cloud vs Oracle Analytics Cloud
SAP BusinessObjects Business Intelligence Platform vs Oracle Analytics Cloud Logo
SAP BusinessObjects Business Intelligence Platform vs Oracle Analytics Cloud
Oracle OBIEE vs Oracle Analytics Cloud Logo
Oracle OBIEE vs Oracle Analytics Cloud
MicroStrategy vs Oracle Analytics Cloud Logo
MicroStrategy vs Oracle Analytics Cloud
SAS Visual Analytics vs Oracle Analytics Cloud Logo
SAS Visual Analytics vs Oracle Analytics Cloud
Apache Superset vs Oracle Analytics Cloud Logo
Apache Superset vs Oracle Analytics Cloud
Sigma vs Oracle Analytics Cloud Logo
Sigma vs Oracle Analytics Cloud
Zoho Analytics vs Oracle Analytics Cloud Logo
Zoho Analytics vs Oracle Analytics Cloud
See all alternatives
 
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.
Director - Data Analytics / EPM at Constellation Consulting Group3.0We use Oracle Analytics Cloud primarily for management reporting, finding its ease of use beneficial for data analysis. However, its lack of flexibility compared to Power BI and Tableau makes it complex for end users to navigate.
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.