Oracle

Oracle Analytics Cloud

Composite Score

7.6 /10

CX Score

8.0 /10

46 Reviews Write a Review

Get Demo

In Partnership With SelectHub

Claim Software

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.

Company Details

Book a Free Demo Today!

See it in action with a free demo.

Click below to sign up on our partner's website.

Get Demo

In Partnership With SelectHub

Awards & Recognition

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

Filter By

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

{y}

{name}

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

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

Oracle Analytics Cloud Reviews

Ricardo P.

Role: Sales Marketing
Industry: Insurance
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Apr 2023

Excellent platform for analysis

Likeliness to Recommend

10 /10

What differentiates Oracle Analytics Cloud from other similar products?

Unlike other tools, I can say that this one is unique since it has integrations with other Oracle products and ease of implementation within the product's toolset.

What is your favorite aspect of this product?

What I like the most about this tool is that you can create the analysis report using any data source, like your cloud database, from an excel sheet, or any other third-party database data source. that can be implemented.

What do you dislike most about this product?

In my personal opinion, I can say that this tool is one of the best and we have not found any fault with this product, so I can say that this tool is in the right direction.

What recommendations would you give to someone considering this product?

One of the reasons why we can recommend this tool is because its user interface is easy to use, not much technical knowledge is required to create a simple analysis.

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Enables Productivity

Nicola S.

Role: Sales Marketing
Industry: Gaming and Hospitality
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Mar 2023

Great tool to create more accurate reports

Likeliness to Recommend

10 /10

What differentiates Oracle Analytics Cloud from other similar products?

Oracle Analytics Cloud offers a combination or reliable solution and expert services for efficient data management. With Oracle Analytics Cloud I can schedule reports at any frequency and choose the total number of recipients. I can change the report's entire look, including the colors, fonts, and themes.

What is your favorite aspect of this product?

Exports data automatically and allows us to specify a schedule for regular data refreshes. It allows us to gather our marketing data from multiple apps and combine them into one destination.

What do you dislike most about this product?

Might not be the easiest to use but it's a good fit for marketing teams and other professionals without a technical background. It's a safe and secure tool that guarantees data security.

What recommendations would you give to someone considering this product?

You get to combine all your data in one place where you can prepare it for analysis and visualization. Oracle Analytics Cloud allows you to create interactive dashboards with different layouts and chart options.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Zahedur T.

Role: Sales Marketing
Industry: Manufacturing
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Feb 2023

Wonderfully visualizes data and uncovers insights

Likeliness to Recommend

10 /10

What differentiates Oracle Analytics Cloud from other similar products?

The data from our data sources are configured to ingest into Oracle Analytics Cloud at scheduled intervals or in real-time. The Data Visualization feature in Oracle Analytics Cloud is powerful and I like how it equips users to visualize data and uncover insights from them.

What is your favorite aspect of this product?

The best advantage which we get when we make use of the oracle database is that it easily manages the multiple databases within the same transaction. The interactive visuals of Oracle Analytics Cloud let us narrow down to different dimensions and modify our visuals with a click.

What do you dislike most about this product?

One disadvantage of Oracle Analytics Cloud is its complexity that makes it a bit difficult to visualize data especially when the users are not technically sound and lack the technical ability that is needed in order to work with the Oracle Analytics Cloud.

What recommendations would you give to someone considering this product?

The use of Oracle Analytics Cloud reduces the need for switching between multiple applications to make well-informed and data-driven decisions. It will enable collaboration throughout your organization without compromising on the self-service capabilities.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

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

Ricardo P.

Excellent platform for analysis

Likeliness to Recommend

Pros

Nicola S.

Great tool to create more accurate reports

Likeliness to Recommend

Pros

Zahedur T.

Wonderfully visualizes data and uncovers insights

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