Oracle Analytics Cloud Reviews

Name: Oracle Analytics Cloud
Brand: Oracle
Rating: 4.0 (26 reviews)

4.0 out of 5

26 reviews
75% willing to recommend

411 followers

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 and more!

Oracle Analytics Cloud is the #5 ranked solution in top Data Visualization solutions and #9 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 44% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 40% of all views.

Buyer's Guide

Oracle Analytics Cloud

February 2025

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Featured reviews

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at Hewlett Packard Enterprise

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.

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Istiaque-Bhuiyan

General Manager at Ruby Ezate Ltd.

Numerous improvements are needed in data extraction, particularly in enhancing connectivity models for enterprise and mission-critical applications that rely on multiple databases. It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases. Also, it should take an active role in educating users, making data processing and integration more accessible to a wider audience that would enable organizations to harness the full potential of their data without grappling with complex connectivity and data modeling processes.

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Paresh Bhangale

Managing Principal Consultant at a tech services company with 201-500 employees

I rate the initial setup a nine, considering an infrastructure with a single server on a scale of one to ten, where one is difficult, and ten is easy. The setup phase depends on what kind of setup a person asks for in their infrastructure. Suppose a person expects disaster recovery or multi-level redundancy when that person's server is in Europe, and the backup is in the data centers in the USA and India. In that case, it takes a longer time. The solution is deployed on the open cloud or public cloud. Considering all the instances, the deployment process takes a week, but it takes only a few hours for one instance. As a part of the deployment process, you opt for the universal credit pricing to figure out the licenses required, or else you will have to bring your own license model. After speaking to Oracle's support team, you can create your user ID and password while ensuring that all the universal credits were a part of the process, following which you can give the name you want for your instance before connecting with Oracle's support team who will then carry on with the instance creation processes. Meanwhile, you will have to see where your database connectivity features, and if you want public connectivity, then you will have to whitelist some IPs while also having to take care of the firewall part. The aforementioned areas are usually taken care of by Oracle.

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Oracle Analytics Cloud mindshare

Product category:

As of February 2025, the mindshare of Oracle Analytics Cloud in the BI (Business Intelligence) Tools category stands at 2.4%, down from 2.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

PeerAnalyst reports

Type	Title	Date
Category	BI (Business Intelligence) Tools	Feb 20, 2025	Download
Product	Reviews, tips, and advice from real users	Feb 20, 2025	Download
Comparison	Oracle Analytics Cloud vs Microsoft Power BI	Feb 20, 2025	Download
Comparison	Oracle Analytics Cloud vs Tableau	Feb 20, 2025	Download
Comparison	Oracle Analytics Cloud vs Amazon QuickSight	Feb 20, 2025	Download

Title	Rating	Mindshare	Recommending
Microsoft Power BI	4.0	21.4%	93%	319 interviews Add to research
Tableau	4.2	18.2%	89%	295 interviews Add to research

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 scalability is acknowledged as pretty good, although my evaluation is limited because I used the tool for a short period."
"Oracle Analytics Cloud is not very user-friendly, however, it is robust and capable of performing a wide range of tasks."
"The advanced calculations by the tool are highly effective"

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.

"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 of the major issues is that Oracle Analytics Cloud is not user-friendly, requiring skilled people with proper certifications to work with it successfully."
"The implementation of generative AI and machine learning should improve"

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

By visitors reading reviews

Top industries

By visitors reading reviews

Educational Organization

40%

Financial Services Firm

Computer Software Company

Government

Manufacturing Company

Healthcare Company

University

Energy/Utilities Company

Retailer

Construction Company

Insurance Company

Comms Service Provider

Real Estate/Law Firm

Legal Firm

Hospitality Company

Non Profit

Wholesaler/Distributor

Pharma/Biotech Company

Transportation Company

Media Company

Performing Arts

Recreational Facilities/Services Company

Outsourcing Company

Compare Oracle Analytics Cloud with alternative products

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.