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 #7 ranked solution in top Data Visualization solutions and #10 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 62% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 11% of all views.
Buyer's Guide
Oracle Analytics Cloud
August 2025
Get the report
Helped 866,218 peers since 2012

Featured Oracle Analytics Cloud reviews

Read more reviews

Oracle Analytics Cloud mindshare

Product category:
BI (Business Intelligence) Tools
As of August 2025, the mindshare of Oracle Analytics Cloud in the BI (Business Intelligence) Tools category stands at 2.6%, up from 2.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Oracle Analytics Cloud2.6%
Microsoft Power BI20.4%
Tableau15.4%
Other61.6%
BI (Business Intelligence) Tools

PeerResearch reports based on Oracle Analytics Cloud reviews

TypeTitleDate
CategoryBI (Business Intelligence) ToolsAug 29, 2025Download
ProductReviews, tips, and advice from real usersAug 29, 2025Download
ComparisonOracle Analytics Cloud vs Microsoft Power BIAug 29, 2025Download
ComparisonOracle Analytics Cloud vs Tableau EnterpriseAug 29, 2025Download
ComparisonOracle Analytics Cloud vs SAP Analytics CloudAug 29, 2025Download
Suggested products
TitleRatingMindshareRecommending
Microsoft Power BI4.020.4%93%326 interviewsAdd to research
Tableau Enterprise4.215.4%89%307 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Oracle Analytics Cloud offers exceptional data preparation and machine learning. Its user-friendly interface and Explain function enhance dashboard creation efficiency. It allows seamless connection to multiple data sources and effective data visualization. Users appreciate its mobile accessibility, rapid setup, robust security, and reliable uptime. The integration of AI/ML models supports predictive analysis and timely decision-making. Its ability to handle complex tasks makes it suitable for diverse business needs, simplifying data analysis and management.
  • "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."
  • "The scalability is acknowledged as pretty good, although my evaluation is limited because I used the tool for a short period."

Room for Improvement

Oracle Analytics Cloud requires better visualizations and broader connector support, such as adding OneDrive and Teradata. Users desire more advanced charting options, enhanced user experience, and easier interface navigation. The platform's cost-effectiveness and flexibility need attention, particularly in scalability and interactive features. Improvements in machine learning, data modeling, and metadata management are essential. Users also note the high learning curve, urging better educational resources to enhance usability and accessibility in diverse environments.
  • "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."
  • "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."

Pricing

Oracle Analytics Cloud users report mixed experiences with pricing. Some find it cost-effective and cheaper than competing solutions, noting its rapid performance with minimal OCPU requirements. However, others view it as expensive, particularly as companies scale up, with prices higher than Tableau and Power BI. While some commend the value for the price, others criticize it as costly. Licensing costs are clear, with no hidden fees, yet enterprise buyers sometimes prefer alternatives due to perceived high costs.
  • "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

Organizations primarily utilize Oracle Analytics Cloud for reporting and visualization across financials, procurement, HR, and transactional data. They create dashboards and dataflows for financial decision-making, predictive analysis, and data warehousing. Analytics Cloud aids in building intuitive dashboards, enhancing data exploration from various data sources. They also leverage it for machine learning applications, semantic modeling, and management reporting. Users often incorporate it with their existing ERP systems for comprehensive business insights and improved decision-making.

Service and Support

Oracle Analytics Cloud's customer service and support receive mixed feedback. Some describe their experience as exceptional, with prompt and accurate responses, while others find it slower compared to direct competitors. The need to raise tickets delays the response time, though some rate their experience highly. Customer service is typically seen as effective, but in regions like Mexico, support challenges exist without established partnerships. There is desire for improved user-friendliness and quicker resolutions.

Deployment

Many users describe Oracle Analytics Cloud's initial setup as easy, especially on the cloud, with quick instance spin-up. Deployment times vary, with some taking weeks due to configuration and data integration. Challenges include credential management and the complexity of the setup for those without prior experience. For on-premise installations, the process can extend to days. Expertise is beneficial, although assistance from Oracle enhances the simplicity of the setup.

Scalability

Scalability is frequently described as fast and impressive, with many groups finding it easy to adjust capacity as needed. Some mention that it becomes costly with increased use, while others rate its scalability highly due to its ability to handle thousands of users. Despite some varied opinions, it is generally recognized for its flexibility and ability to cater to enterprise needs, though there are mixed experiences on cost efficiency.

Stability

Oracle Analytics Cloud is described as stable and reliable by users, with no significant issues related to bugs or crashes. Users consistently rate its stability highly, with most assigning scores between eight and ten. While some note minor communication issues with databases, the general consensus is positive, mentioning its robust performance and ability to sustain operations effectively. Users recognize the need for improvements in model standardizations but largely agree on its dependable nature.
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 Business10
Midsize Enterprise6
Large Enterprise9
By reviewers
By visitors reading reviews
Company SizeCount
Small Business134
Midsize Enterprise81
Large Enterprise344
By visitors reading reviews

Top industries

By visitors reading reviews
Government
11%
Computer Software Company
11%
Manufacturing Company
9%
Financial Services Firm
8%
Educational Organization
6%
University
6%
Healthcare Company
6%
Energy/Utilities Company
5%
Retailer
4%
Comms Service Provider
3%
Insurance Company
3%
Hospitality Company
3%
Legal Firm
3%
Non Profit
2%
Construction Company
2%
Performing Arts
2%
Media Company
2%
Real Estate/Law Firm
2%
Recreational Facilities/Services Company
2%
Pharma/Biotech Company
2%
Transportation Company
2%
Outsourcing Company
1%
Wholesaler/Distributor
1%
Wellness & Fitness Company
1%
Recruiting/Hr Firm
1%
Marketing Services Firm
1%
Logistics 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

  • 228
What is the difference between Oracle Analytics Cloud and Oracle OBIEE?
  • 1,323
What is the difference between Oracle Analytics Server and Oracle OBIEE?
  • 32
Which Oracle product is better - OBIEE or Analytics Cloud?
  • 123
When evaluating Business Intelligence Tools, what aspect do you think is the most important to look for?
  • 77
BI Tool Replacements, What Do You Recommend?
  • 76
Which one is best for ETL - Pentaho or Jaspersoft?
  • 10
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.
  • 86
BI Tool Evaluation Criteria Rating Matrix -- anyone have one they've used in making a tool selection?
  • 67
QlikView or Tableau - Which is better?
  • 30
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
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
SAP Analytics Cloud vs Oracle Analytics Cloud Logo
SAP Analytics Cloud 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 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
Salesforce Einstein Analytics vs Oracle Analytics Cloud Logo
Salesforce Einstein Analytics vs Oracle Analytics Cloud
Workday Prism Analytics vs Oracle Analytics Cloud Logo
Workday Prism Analytics vs Oracle Analytics Cloud
Pyramid Analytics vs Oracle Analytics Cloud Logo
Pyramid Analytics vs Oracle Analytics Cloud
See all alternatives
 
Oracle Analytics Cloud Reviews Summary
Author infoRatingReview Summary
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.
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.
Senior Business Intelligence Consultant at a transportation company with 11-50 employees4.5No summary available
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.
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.