Oracle

Oracle Analytics Cloud

Composite Score

7.6 /10

CX Score

8.0 /10

46 Reviews Write a Review

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What is Oracle Analytics Cloud?

Oracle Analytics is a comprehensive solution to meet the breadth of all analytics needs. Drive business insights with data intelligence and embedded AI from the leading cloud data and analytics ecosystem. Leverage ready-to-use analytics services for a wide variety of workloads and data.

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Awards & Recognition

Oracle Analytics Cloud won the following awards in the Business Intelligence & Analytics – Enterprise category

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9 Top Rated Capabilities

13 Top Rated Features

Latest Award, 2025

2024 Data Quadrant Champion

2024

9 Top Rated Capabilities

9 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Service Experience

2023

2023 Data Quadrant Champion

2023

8 Top Rated Capabilities

8 Top Rated Features

2023

1 Top Rated Capabilities

3 Top Rated Features

2022

Oracle Analytics Cloud Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Oracle Analytics Cloud.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

87 Likeliness to Recommend

1
Since last award

98 Plan to Renew

92 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+92 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Oracle Analytics Cloud?

3% Negative

2% Neutral

95% Positive

Pros

Respectful
Reliable
Performance Enhancing
Enables Productivity

Feature Ratings

Average 84

Dashboard

Data Exploration and Visualization

Operational Reporting Capabilities

Advanced Analytics and Data Science

Spatial Analysis

Real-Time Visualization

Self Service and Ad Hoc Capabilities

Data Modelling Tools

BI Security

Collaboration

Metadata Management

Vendor Capability Ratings

Average 85

Usability and Intuitiveness

Ease of Data Integration

Ease of Implementation

Vendor Support

Quality of Features

Ease of Customization

Business Value Created

Ease of IT Administration

Breadth of Features

Availability and Quality of Training

Product Strategy and Rate of Improvement

Also Featured in...

Business Intelligence & Analytics - Midmarket

Score 8.8

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Oracle Analytics Cloud Reviews

John O.

Role: Information Technology
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted May 2025

Powerful Visualization with Room for growth

Likeliness to Recommend

10 /10

What differentiates Oracle Analytics Cloud from other similar products?

OAC integrates deeply with Oracle’s broad suite of enterprise applications (ERP, HCM, CX) and databases, providing a unified analytics experience for organizations already invested in Oracle technologies. OAC combines data preparation, visualization, reporting, augmented analytics (AI/ML), and enterprise reporting within a single cloud platform, reducing the need for multiple disconnected tools.

What is your favorite aspect of this product?

My favorite aspect of Oracle Analytics Cloud is its seamless integration with Oracle’s enterprise ecosystem, which allows organizations to easily connect analytics with their core business applications and databases.

What do you dislike most about this product?

What I dislike most about Oracle Analytics Cloud is its steeper learning curve and somewhat complex user interface compared to some other modern BI tools.

What recommendations would you give to someone considering this product?

If your organization already uses Oracle databases or applications, OAC can integrate seamlessly, providing a big advantage. Plan to capitalize on these integrations to maximize value. Due to OAC’s complexity and depth, invest time and resources in training your team, especially for data modeling, preparation, and using augmented analytics features effectively.

Pros

Trustworthy
Effective Service
Inspires Innovation
Saves Time

Alfredo G.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Sep 2024

Useful for advanced analytics

Likeliness to Recommend

9 /10

What differentiates Oracle Analytics Cloud from other similar products?

Distinguishes it and stands out from similar programs because of its seamless integration with other Oracle tools, its ability to easily scale to handle large volumes of data, and its focus on data security to meet compliance standards. We chose this software because of its reputation in the industry and its ability to meet our specific business needs.

What is your favorite aspect of this product?

I like it because it allows us to analyze large amounts of data from multiple sources to make informed strategic decisions. We can also perform custom reporting, predictive analytics and interactive data visualizations to identify key trends and patterns in the marketplace.

What do you dislike most about this product?

As for what I don't like, I have experienced some performance issues occasionally when running complex queries.

What recommendations would you give to someone considering this product?

Oracle Analytics Cloud is suitable for scenarios where advanced analytics and data security are required, but may be less appropriate in situations where a gentler learning curve is preferred for novice users.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Cavin S.

Role: Finance
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Feb 2024

Great Features.

Likeliness to Recommend

9 /10

What differentiates Oracle Analytics Cloud from other similar products?

Oracle Analytics Cloud offers robust security features and granular access controls to ensure data confidentiality, integrity, and compliance with regulatory requirements.

What is your favorite aspect of this product?

It Incorporates AI and machine learning capabilities for augmented analytics, enabling users to uncover valuable insights and make data-driven decisions more effectively.

What do you dislike most about this product?

While Oracle Analytics Cloud offers extensive customization options, organizations with highly specialized requirements may encounter limitations in tailoring the platform to their specific needs.

What recommendations would you give to someone considering this product?

Consider the technical proficiency of end-users and provide appropriate training and support to maximize adoption and utilization.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Unique Features

Oracle Analytics Cloud

What is Oracle Analytics Cloud?

Company Details

Book a Free Demo Today!

Awards & Recognition

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

Oracle Analytics Cloud Ratings

87 Likeliness to Recommend

1 Since last award

98 Plan to Renew

92 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Oracle Analytics Cloud?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Operational Reporting Capabilities Real-time detailed reporting to support operational business processes.

Advanced Analytics and Data Science Techniques including predictive, data and text mining, machine learning, forecasting, what-if analysis, sentiment analysis etc.

Spatial Analysis Ability to natively visualize and analyze spatial data out of the box tied to postcode, zipcode or spacial co-ordinates.

Real-Time Visualization Ability to analyze and visualize data as soon as it becomes available via data-streaming pipelines.

Self Service and Ad Hoc Capabilities Selected user groups are able to interact with BI data, slice and dice, and find answers on their own.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

BI Security Data access control management, including access permissions management, user authentication and enforcement of access permissions via technology.

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Also Featured in...

Business Intelligence & Analytics - Midmarket

Oracle Analytics Cloud Reviews

John O.

Powerful Visualization with Room for growth

Likeliness to Recommend

Pros

Alfredo G.

Useful for advanced analytics

Likeliness to Recommend

Pros

Cavin S.

Great Features.

Likeliness to Recommend

Pros

Most Popular Oracle Analytics Cloud Comparisons

Microsoft Power BI

Tableau

Qlik Sense

Logi Symphony

SAP BusinessObjects

IBM Cognos Analytics

1
Since last award

1
Since last award

Feature Ratings

Dashboard

Data Exploration and Visualization

Operational Reporting Capabilities

Advanced Analytics and Data Science

Spatial Analysis

Real-Time Visualization

Self Service and Ad Hoc Capabilities

Data Modelling Tools

BI Security

Collaboration

Metadata Management

Vendor Capability Ratings

Usability and Intuitiveness

Ease of Data Integration

Ease of Implementation

Vendor Support

Quality of Features

Ease of Customization

Business Value Created

Ease of IT Administration

Breadth of Features

Availability and Quality of Training

Product Strategy and Rate of Improvement