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Oracle

Oracle Analytics Cloud

Composite Score

8.2 /10

CX Score

8.5 /10

53 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

88 Plan to Renew

11
Since last award

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.

+91 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

1% Neutral

97% Positive

Pros

Performance Enhancing
Respectful
Acts with Integrity
Helps Innovate

Feature Ratings

Average 87

Dashboard

Data Exploration and Visualization

Self Service and Ad Hoc Capabilities

Collaboration

Data Modelling Tools

Advanced Analytics and Data Science

BI Security

Operational Reporting Capabilities

BI Platform Administration

Spatial Analysis

Real-Time Visualization

Vendor Capability Ratings

Average 83

Ease of Implementation

Usability and Intuitiveness

Business Value Created

Ease of Data Integration

Quality of Features

Ease of IT Administration

Vendor Support

Breadth of Features

Availability and Quality of Training

Ease of Customization

Product Strategy and Rate of Improvement

Also Featured in...

Business Intelligence & Analytics - Midmarket

Score 8.9

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Oracle Analytics Cloud Reviews

Vanya S.

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

Validated Review

Verified Reviewer

Submitted May 2026

Reliable BI platform for Large Businesses

Likeliness to Recommend

10 /10

What differentiates Oracle Analytics Cloud from other similar products?

The strong point is its integration with the broader Oracle ecosystem. If your organization already uses Oracle databases, ERP system, or cloud application, the setup feels much more seamless compared to other BI platform. Data access, governance, and security controls are easier to manage centrally, which helps from both compliance and operational standpoint.

What is your favorite aspect of this product?

My favorite aspect is the customization and flexibility. The platform supports a wide range of data sources and reporting styles, so it adapts well to different business needs. Whether it's executive dashboards, operational reporting, or advanced analytics, the system can handle it without needing multiple disconnected tools. It feels like a modern analytics solution that keeps evolving rather than a product that become outdated quickly.

What do you dislike most about this product?

I dislike about Oracle Analytics Cloud is that the platform can feel complex at times, especially for new users who are not familiar with Oracle product. While it offers a lot of powerful features, there can be a learning curve when setting up advanced dashboard, integrations, or custom Analytics workflows.

What recommendations would you give to someone considering this product?

I would also suggest spending time on proper planing and user training before a full rollout. The platform has a lot of advanced capabilities, but users may not take full advantage of them without some initial guidance. Investing in training early can significantly improve adoption and reduce frustrating later on. Overall, it's a strong enterprise analytics platform for organizations looking for scalability, centralized governance, and advanced analytics capabilities, but it works best when there is a clear strategy and the right technical resources available to support it.

Pros

Enables Productivity
Effective Service
Respectful
Altruistic

Sailendra G.

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

Validated Review

Verified Reviewer

Submitted Apr 2026

All Your Data in One Place

Likeliness to Recommend

9 /10

What differentiates Oracle Analytics Cloud from other similar products?

It's combines data preparation, visualization reporting and advanced analytics is once platform and it's handle both self service analytics and governed enterprise analytics for IT. Smart Data preparation and AI Driven Insights OAC provide that AI features that's helps me to analysts discover patterns. . It's is not just BI tools and it's a full analytics platform with smart AI features, strong governance and deep integration with enterprise data.

What is your favorite aspect of this product?

It's blend datasets from different sources quickly and build dashboards and reports without constant IT support and I also like because I don't have to juno between separate apps for data cleaning, reporting or dashboards .

What do you dislike most about this product?

One thing I don't like about this is powerful but not always easiest to navigate some workflows feel less intuitive than tools like Tableau or Power BI

What recommendations would you give to someone considering this product?

I recommend you to if you considering then treat it as a full analytics platform not just BI there OAC is designed to handle the entire analytics workflow drom data prep to visualization to ML.

Pros

Helps Innovate
Performance Enhancing
Trustworthy
Unique Features

Cons

Less Efficient Service
Less Productive

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

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

88 Plan to Renew

11 Since last award

91 Satisfaction of Cost Relative to Value

3 Since last award

Emotional Footprint Overview

+91 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.

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

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

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

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.

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.

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

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.

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.

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

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.

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

Vanya S.

Reliable BI platform for Large Businesses

Likeliness to Recommend

Pros

Sailendra G.

All Your Data in One Place

Likeliness to Recommend

Pros

Cons

Mayuri B.

Large connectivity options

Likeliness to Recommend

Pros

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Feature Ratings

Dashboard

Data Exploration and Visualization

Self Service and Ad Hoc Capabilities

Collaboration

Data Modelling Tools

Advanced Analytics and Data Science

BI Security

Operational Reporting Capabilities

BI Platform Administration

Spatial Analysis

Real-Time Visualization

Vendor Capability Ratings

Ease of Implementation

Usability and Intuitiveness

Business Value Created

Ease of Data Integration

Quality of Features

Ease of IT Administration

Vendor Support

Breadth of Features

Availability and Quality of Training

Ease of Customization

Product Strategy and Rate of Improvement