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Oracle

Oracle Analytics Cloud

Composite Score

8.0 /10

CX Score

8.3 /10

47 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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Product Impact

Latest Award, 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

1
Since last award

99 Plan to Renew

1
Since last award

93 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.

+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?

3% Negative

2% Neutral

95% Positive

Pros

Enables Productivity
Respectful
Reliable
Caring

Feature Ratings

Average 85

Dashboard

Data Exploration and Visualization

Advanced Analytics and Data Science

Self Service and Ad Hoc Capabilities

Operational Reporting Capabilities

Spatial Analysis

Data Modelling Tools

Real-Time Visualization

Collaboration

BI Platform Administration

BI Security

Vendor Capability Ratings

Average 85

Usability and Intuitiveness

Vendor Support

Ease of Data Integration

Quality of Features

Ease of Customization

Ease of Implementation

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

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

Oracle Analytics Cloud Reviews

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

Validated Review

Anonymous Reviewer

Submitted Jan 2021

Great product!

Likeliness to Recommend

6 /10

Pros

Includes Product Enhancements
Security Protects
Helps Innovate
Continually Improving Product

Cons

Vendor's Interest First
Wastes Time

Role: C-Level
Industry: Finance
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Feb 2020

Delights at every turn at a lower price point

Likeliness to Recommend

10 /10

Pros

Unique Features
Saves Time
Client Friendly Policies
Client's Interest First

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

1 Since last award

99 Plan to Renew

1 Since last award

93 Satisfaction of Cost Relative to Value

1 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.

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

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.

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

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

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

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

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

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

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

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.

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.

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.

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.

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.

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

Great product!

Likeliness to Recommend

Pros

Cons

Delights at every turn at a lower price point

Likeliness to Recommend

Pros

Most Popular Oracle Analytics Cloud Comparisons

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1
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Feature Ratings

Dashboard

Data Exploration and Visualization

Advanced Analytics and Data Science

Self Service and Ad Hoc Capabilities

Operational Reporting Capabilities

Spatial Analysis

Data Modelling Tools

Real-Time Visualization

Collaboration

BI Platform Administration

BI Security

Vendor Capability Ratings

Usability and Intuitiveness

Vendor Support

Ease of Data Integration

Quality of Features

Ease of Customization

Ease of Implementation

Business Value Created

Ease of IT Administration

Breadth of Features

Availability and Quality of Training

Product Strategy and Rate of Improvement