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Oracle

Oracle Analytics Cloud

Composite Score

8.0 /10

CX Score

8.3 /10

50 Reviews Write a Review

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What is Oracle Analytics Cloud?

Oracle Analytics Cloud 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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11 Top Rated Capabilities

14 Top Rated Features

Latest Award, 2026

Product Impact

2025

9 Top Rated Capabilities

13 Top Rated Features

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.

88 Likeliness to Recommend

99 Plan to Renew

91 Satisfaction of Cost Relative to Value

3
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.

+93 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?

2% Negative

2% Neutral

96% Positive

Pros

Performance Enhancing
Enables Productivity
Respectful
Acts with Integrity

Feature Ratings

Average 87

Dashboard

Data Exploration and Visualization

Self Service and Ad Hoc Capabilities

Collaboration

Advanced Analytics and Data Science

Data Modelling Tools

BI Security

Spatial Analysis

Operational Reporting Capabilities

BI Platform Administration

Real-Time Visualization

Vendor Capability Ratings

Average 85

Usability and Intuitiveness

Ease of Implementation

Ease of Data Integration

Quality of Features

Vendor Support

Business Value Created

Availability and Quality of Training

Breadth of Features

Ease of IT Administration

Ease of Customization

Product Strategy and Rate of Improvement

Also Featured in...

Business Intelligence & Analytics - Midmarket

Score 8.9

View Oracle Analytics Cloud in this category (opens in a new tab)

Oracle Analytics Cloud Reviews

Mayuri B.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Mar 2026

Large connectivity options

Likeliness to Recommend

9 /10

What differentiates Oracle Analytics Cloud from other similar products?

Advanced features

What is your favorite aspect of this product?

Shared dashboard

What do you dislike most about this product?

Expensive in comparision with other tools

What recommendations would you give to someone considering this product?

Self services dashboards

Pros

Continually Improving Product
Trustworthy
Effective Service
Saves Time

Vivian G.

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

Validated Review

Verified Reviewer

Submitted Oct 2025

Decent features but lacks innovation

Likeliness to Recommend

9 /10

What differentiates Oracle Analytics Cloud from other similar products?

Oracle Analytics Cloud offers strong integration with Oracle’s database and enterprise ecosystem, but beyond that, it doesn’t stand out much compared to competitors like Power BI or Tableau in terms of usability or flexibility.

What is your favorite aspect of this product?

The scalability and integration with Oracle’s cloud infrastructure are reliable. It performs well for organizations already invested in the Oracle ecosystem.

What do you dislike most about this product?

The user interface feels outdated, and the setup process can be overly complex. It also lacks the modern visualization and AI capabilities found in other analytics platforms.

What recommendations would you give to someone considering this product?

Only consider Oracle Analytics Cloud if your data infrastructure is already heavily Oracle-based. Otherwise, there are more user-friendly and cost-effective analytics tools available.

Pros

Trustworthy
Unique Features
Inspires Innovation
Respectful

Nitin T.

Role: Consultant
Industry: Consulting
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Aug 2024

Awesome Features... cost disappoint

Likeliness to Recommend

10 /10

What differentiates Oracle Analytics Cloud from other similar products?

Awesome product, great features, easy implementation

What is your favorite aspect of this product?

Features and easy implementation

What do you dislike most about this product?

Cost can be reduced

What recommendations would you give to someone considering this product?

Easy implementation and great features

Pros

Continually Improving Product
Reliable
Performance Enhancing
Enables Productivity

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

88 Likeliness to Recommend

99 Plan to Renew

91 Satisfaction of Cost Relative to Value

3 Since last award

Emotional Footprint Overview

+93 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.

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.

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

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

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.

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

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

BI Platform Administration Centralized console to manage BI portal administration. Management metrics and reports on usage, resource utilization, security, and other activities.

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

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 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.

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

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.

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.

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.

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.

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.

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

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

Mayuri B.

Large connectivity options

Likeliness to Recommend

Pros

Vivian G.

Decent features but lacks innovation

Likeliness to Recommend

Pros

Nitin T.

Awesome Features... cost disappoint

Likeliness to Recommend

Pros

Most Popular Oracle Analytics Cloud Comparisons

Microsoft Power BI

Tableau

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SAP BusinessObjects

Looker

3
Since last award

Feature Ratings

Dashboard

Data Exploration and Visualization

Self Service and Ad Hoc Capabilities

Collaboration

Advanced Analytics and Data Science

Data Modelling Tools

BI Security

Spatial Analysis

Operational Reporting Capabilities

BI Platform Administration

Real-Time Visualization

Vendor Capability Ratings

Usability and Intuitiveness

Ease of Implementation

Ease of Data Integration

Quality of Features

Vendor Support

Business Value Created

Availability and Quality of Training

Breadth of Features

Ease of IT Administration

Ease of Customization

Product Strategy and Rate of Improvement