---
title: "Oracle Analytics Cloud Software Pricing, Alternatives & More 2026 | Capterra"
description: "With the help of Capterra, learn about Oracle Analytics Cloud Software - reviews, pricing plans, popular comparisons to other Data Discovery products and more."
source_url: "https://www.capterra.com/p/170920/Oracle-Analytics-Cloud/"
page_type: "product"
language: "en"
---

# 

 Oracle Analytics Cloud Software Review 2026: Features, Integrations, Pros & Cons

Last updated on August 20, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Support](#support)[Reviews](#reviews)

Oracle Analytics Cloud

## What is Oracle Analytics Cloud?

The Oracle Analytics platform is a cloud native service that provides the capabilities that address the entire analytics process including data ingestion and modeling, data preparation and enrichment, and visualization, without compromising security and governance. Embedded ML and natural language technologies help increase productivity and build an analytics-driven culture in organizations. Available on-premises, in the cloud, or as a hybrid of both, providing flexible paths to the cloud.

## What is Oracle Analytics Cloud used for?

[Data Discovery](https://www.capterra.com/data-discovery-software/)[Data Visualization](https://www.capterra.com/data-visualization-software/)[Data Analysis](https://www.capterra.com/data-analysis-software/)

Top alternative

Featured

Overall rating

Based on 16 user reviews

Reviews sentiment

Positive

\-

Neutral

\-

Negative

\-

### Starting price

Free trial available

Capterra Shortlist charts the highest-rated and most popular products...

Our "Best of" badge program showcases products with the highest ratings...

Our "Best of" badge program showcases products with the highest ratings...

Do you work for Oracle Analytics Cloud?[Manage this product listing](https://digitalmarkets.gartner.com/get-listed/claim-bx?url=https://www.oracle.com/&name=Oracle Analytics Cloud)

## Compare with a popular alternative

Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status.

### Oracle Analytics Cloud

4.2 (16)

VS.

[4.4 (12)](https://www.capterra.com/p/10004983/SAS-Viya/#reviews)

Starting Price

Contact vendor

Starting Price

Contact vendor

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

4.3 (16)

Ease Of Use

4.1 (12)

Value For Money

4.0 (15)

Value For Money

3.7 (9)

Customer Service

4.2 (15)

Customer Service

3.9 (9)

## Oracle Analytics Cloud alternatives

[4.7 (15)](https://www.capterra.com/p/178411/Inzata/reviews/)

Starting price

$30000.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

100%

of reviewers

rated it above 4 stars

[4.5 (391)](https://www.capterra.com/p/109731/Minitab-Statistical-Software/reviews/)

Starting price

$1851.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

93%

of reviewers

rated it above 4 stars

[Tableau](https://www.capterra.com/p/208764/Tableau/)

[4.6 (2,358)](https://www.capterra.com/p/208764/Tableau/reviews/)

Starting price

$15.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

95%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/208764/Tableau/)

Highest Rated

[Google Cloud](https://www.capterra.com/p/268690/Google-Cloud-Platform/)

[4.7 (2,322)](https://www.capterra.com/p/268690/Google-Cloud-Platform/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

96%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/268690/Google-Cloud-Platform/)

## FAQs about Oracle Analytics Cloud

Overview

### Which roles and teams benefit most from Oracle Analytics Cloud?

Oracle Analytics Cloud is most used by data and systems teams, marketing specialists, HR professionals, and business operations staff who need centralized reporting and dashboard-driven decisions. Analysts and architects use it to model and explore data, while support, finance, procurement, and engineering roles track performance, identify trends, and improve operational visibility.

Answer based on 16 reviews

Overview

### What company size and specific industries is Oracle Analytics Cloud built for?

Oracle Analytics Cloud is designed for organizations of any size in any industry, including teams in finance, HR, sales, and marketing. It fits businesses that need analytics support across multiple departments, regardless of whether they are small companies, mid-market firms, or large enterprises.

Features and Usability

### What are the key features of Oracle Analytics Cloud?

Oracle Analytics Cloud offers AI/Machine Learning, ad hoc analysis and reporting, dashboard creation, and data visualization for exploring and presenting data. It also includes data connectors, data integration, data preparation, and data modeling, plus real-time analytics, predictive analytics, forecasting, role-based permissions, and scheduled reports.

Getting Started and Support

### What training and onboarding options does Oracle Analytics Cloud offer?

Oracle Analytics Cloud provides in person training, live online sessions, webinars, documentation, and videos to help teams get started. In person and live online formats support guided instruction, webinars cover scheduled learning sessions, documentation offers written reference material, and videos provide self-paced visual guidance.

Getting Started and Support

### What customer support options does Oracle Analytics Cloud offer?

Oracle Analytics Cloud provides email/help desk, FAQ/forum, knowledge base, phone support, 24/7 live rep, and chat. No reviewer feedback about support quality is available in the catalog, so user experience with response times, helpfulness, or common frustrations cannot be summarized here.

## Features

AI summary

Based on 225 Data Discovery reviews

Capterra data shows that buyers of data discovery software rank the following features as their top priorities:

-   **Multiple Data Sources** (**66%** of reviewers rated this feature as critical)
-   **Reporting/Analytics** (**57%**)
-   **Customizable Reports** (**67%**)

Oracle Analytics Cloud supports all three features reviewers value most: **Multiple Data Sources**, **Reporting/Analytics**, and **Customizable Reports**. Together, these capabilities help businesses connect information from different systems, turn data into useful insights, and tailor reports to specific reporting needs, allowing teams to make more informed decisions and share findings more effectively.

Multiple Data Sources

4.0 (2)

100.00% of 2 reviewers that rated this feature as important or highly important

Allows users to manage data from a number of sources

Reporting/Analytics

4.3 (3)

66.67% of 3 reviewers that rated this feature as important or highly important

View and track pertinent metrics to find patterns and gain insights from data

Customizable Reports

5.0 (2)

100.00% of 2 reviewers that rated this feature as important or highly important

Alter the layout and content of reports

Data Connectors

4.0 (2)

100.00% of 2 reviewers that rated this feature as important or highly important

Connect to big data sources

Data Visualization

3.5 (2)

100.00% of 2 reviewers that rated this feature as important or highly important

Graphical representation of data

Data Import/Export

4.3 (3)

66.67% of 3 reviewers that rated this feature as important or highly important

Import and export data to and from software applications

Oracle Analytics Cloud 70 features

### All Features
- Access Controls/Permissions: Define levels of authorization for access to specific files or systems
- Active Directory Integration: Integrates with Active Directory
- Activity Tracking: Track and document all activities across devices, networks, and other systems
- Ad hoc Query: One-off queries made on an as-needed basis
- Ad hoc Reporting: Generate one-off reports that meet information requirements
- AI/Machine Learning: Software program that continuously adjusts its behavior based on observed data
- Alerts/Notifications: Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges
- Audit Trail: A record of all activities within the system, including user access, changes made, etc.
- Authentication: Verify the identity of users/devices to enable secure access
- Charting: Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.
- Collaboration Tools: Provides a channel for team members to share AI models, media files, communicate, and work together
- Customizable Branding: Add customized logos and colors to align with company branding
- Customizable Reports: Alter the layout and content of reports
- Dashboard: Assembly of graphs and charts for visualizing and tracking statistics/metrics
- Dashboard Creation: Creation and customization of dashboards
- Data Analysis Tools: Analyze survey results via statistical testing or crosstabs directly within the software
- Data Connectors: Connect to big data sources
- Data Dictionary Management: Stores definitions of the data elements and their relationships (metadata) and how they are retrieved for the user
- Data Discovery: Discover and connect variety of data sources to the application for analysis
- Data Extraction: Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
- Data Import/Export: Import and export data to and from software applications
- Data Integration: Combining data from different sources and providing a unified view
- Data Mapping: Track the management and flow of data throughout the organization
- Data Migration: Move from one database to another, or upgrade the version of database software being used
- Data Modeling: Conceptual model of how data items relate to each other
- Data Preparation: Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.
- Data Profiling: Examines, analyzes, and organizes data to create relevant summaries or graphs.
- Data Quality Control: Establish guidelines about how much and what kind of data can be stored in the repository
- Data Security: Protect sensitive data for digital privacy
- Data Storage Management: Manage and store data in a database
- Data Transformation: Translate EDI formats into data suitable for use with company applications.
- Data Visualization: Graphical representation of data
- Database Support: Supports common databases such as MySQL and Oracle
- Drag & Drop: Assemble applications and processes by dragging over and arranging pre-built components
- Forecasting: Form predictions based on past and present data/trends
- Metadata Management: Collect and maintain structured information that describes data or content
- ML Algorithm Library: Share, track, and store machine learning models and data.
- Model Training: Process of testing an ML algorithm by feeding it training data to learn from
- Monitoring: Observe and track the demand, usage, progress or quality of a system, product, or user
- Multi-Language: Manage and support multiple languages
- Multiple Data Sources: Allows users to manage data from a number of sources
- Natural Language Processing: Process and analyze human language in text or audio form
- Natural Language Search: Ability to interact with the application using human languages such as English
- Performance Metrics: A set of indicators that tracks the performance of networks, applications, systems, teams, etc.
- Predictive Analytics: Predict future data based on historical data sets
- Predictive Modeling: Analyzing historical and current data and generating a model to help predict future outcomes.
- Query Builder: Tool that allows users to create and execute database queries without needing to know the underlying syntax of the database
- Real-Time Analytics: Analyze and gain insights into data in real-time
- Real-Time Data: Receive data and information in real time
- Real-Time Monitoring: Active monitoring of systems, applications, or networks
- Real-Time Reporting: Active reporting of data and metrics
- Reporting & Statistics: Collection, analysis, and representation of numerical data and generation of reports to understand various patterns
- Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data
- Role-Based Permissions: Set & manage permission levels based on user roles and restrict access to only authorized individuals
- Sales Trend Analysis: Analyze the current state of sales data to accurately understand trends and forecast future sales numbers.
- Scheduled/Automated Reports: Set a time to generate routine reports automatically
- Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria
- Secure Data Storage: Securely stores data to prevent data loss or breaches
- Self Service Data Preparation: Access, combine, transform, and store data without the help of an IT department
- Self Service Portal: Online portal through which end users can access the system, manage tasks, or obtain information
- Self-service Analytics: Generate reports on your own without IT involvement
- Sentiment Analysis: Categorize emotions expressed and identify if they are positive, negative or neutral
- Single Sign On: Allow users to access multiple services after entering their login credentials once
- SSL Security: Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access
- Storytelling: Ability to present data insights in the form of a story to the audience
- Third-Party Integrations: Set up connections to third-party platforms to improve business processes
- Trend Analysis: Review data from past periods to reveal recurring tendencies and predict future performance
- User Management: Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks
- Visual Analytics: Interact with data visualization elements, such as charts and graphs, to drill down into data
- Visual Discovery: Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries.

---

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Features

4.4 (16)

4.4

Based on 16 reviews

## Pricing

Value for money

4.0 (15)

### Starting price

Free trial available

Value for money

4.0 (15)

4.0

Based on 15 reviews

Connect with a Capterra advisor for a free 15-minute consultation

Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs.

## Support, customer service and training options

Customer Service

4.2 (15)

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

Customer Service

4.2 (15)

4.2

Based on 15 reviews

## User reviews

Overall rating

4.2

Based on 16 reviews

Filter by rating

5(6)

4(7)

3(3)

2(0)

1(0)

Mentioned topic

Sorted by most recent

sanchita J.

Technical support engineer

Information Technology and Services

### "Data analysis on the cloud."

4.0

Overall Rating

4.0

4.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

8/10

July 3, 2024

A new vision for developers is to make it easy for them to visualize things, integrate those with other tools, and many more.

Pros

1\. Powerful source for storing, managing and data analysis. 2. Data problems now don't need to be done by coding. 3. It is really easy to maintain and access, it is scalable as well. 4. The service offered by Oracle is just superb here. 5. The features and integration part are very clear and decent to understand and implement.

Cons

1\. Sometimes performance issues come as it deal with data. 2. A better view of the data on the dashboard is one of the things that needs improvement. 3. Expensive for small businesses.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

JA

Joseph A.

Mechanical Engineer

Construction

### "OAC Insight by Mechanical Engineer "

3.0

Overall Rating

3.0

3.0

Ease of Use

3.0

3.0

Features

4.0

4.0

Customer Service

3.0

3.0

Likelihood to Recommend

7/10

May 4, 2024

Pros

I use Oracle Analytics Cloud as SAC alternative; I like how it automate data preparation and modeling procedures.

Cons

Oracle Analytics Cloud lack mobile application and is highly costly.

Switched from

[NewsData.io](https://www.capterra.com/p/266542/NewsDataio/)

[Google Analytics 360](https://www.capterra.com/p/177042/Google-Analytics/)

[Amplitude](https://www.capterra.com/p/158741/Amplitude/)

[Adobe Analytics](https://www.capterra.com/p/202871/Adobe-Analytics/)

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

JP

Jean Pierre H.

Data Architect

Broadcast Media

### "Excellent rapport fonctionnalités / prix"

4.0

Overall Rating

4.0

4.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

4.0

4.0

Likelihood to Recommend

9/10

April 7, 2023

La diffusion d'analyses et de reporting à l'ensemble des utilisateurs, la fédération de multiples sources de données

Pros

Souscription dans le cloud de type licence "serveur" (non lié au nombre d'utilisateurs), le plus puissant en termes de diffusion des analyses, couche sémantique, sécurité très riche, outil de reporting et de BI d'entreprise, fonctionnalité de "Flux de données" (ETL).

Cons

Encore plus de connecteurs natifs aux sources de données

Reasons for choosing Oracle Analytics Cloud

Le meilleur rapport qualité prix, le modèle de licences, le client léger, les fonctionnalités de diffusion, ...

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

Swapnil B.

Data Analyst

Textiles

### "Oracle Analytics Cloud: A Powerful Tool for Gaining Data Insights"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

5/10

February 17, 2023

I've been using Oracle Analytics Cloud for a few months and I'm really happy with the findings. The platform is simple to use and has a number of features that make data analysis quick and straightforward. It has streamlined my workflow by automating many of the complicated operations I used to do manually, such as data sorting and filtering, visualisation creation, and sophisticated analysis. Overall, I'm quite pleased with Oracle Analytics Cloud; it's made my job lot simpler!

Pros

We value the flexibility that Oracle Analytics Cloud offers. It may be installed on the cloud, which eliminates the need for any hardware investments or software installation. This allows for easy scaling up or down as needed. Moreover, Oracle Analytics Cloud provides a complete collection of capabilities designed to enable data analysis and gaining insights into patterns and trends easier. This enables firms to make more informed decisions based on their data.

Cons

While the software is comprehensive in many ways, it does have some limitations in terms of scalability. Oracle Analytics Cloud offers some impressive features for users, but it does not offer any out-of-the-box solutions for enterprise level organizations that need to scale up quickly. Additionally, the integrated machine learning capabilities are somewhat limited compared to more specialized AI software solutions.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

MD

Mert D.

Social Media Specialist

Marketing and Advertising

### "Cloud Analytics Service from Oracle"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

2.0

2.0

Likelihood to Recommend

9/10

August 22, 2022

I used Oracle Analytics over 6 months and I had valuable insights from it. I stopped using it because of it's huge fee.

Pros

Oracle Analytics service has wonderful features and well designed dashboard, to understand better all the data and information that it gives. It helps you to make predictions with it's proper dashboard.

Cons

Frankly, Oracle Analytics is expensive when you compare it with alternatives, there are other tools that you can pay half price to have analytics features.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

MF

Muhammad F.

accountant

Accounting

### "Oracle Analytics Cloud- Easy to use"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

July 18, 2022

Pros

The most best feature of this software is easy to use

Cons

It is costly as compared with some products

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

CH

Charunie H.

HR Executive

Apparel & Fashion

### "Oracle review"

4.0

Overall Rating

4.0

4.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

9/10

March 12, 2022

This software is very helpful and user friendly for any user. We can upload huge number of users / employees to the system in one go. Further, Oracle is very useful to generate any kind of reports hence our company generate month end reports, absenteeism reports, employee information reports etc... Hence, overall oracle is very supportive software.

Pros

Oracle is very detailed software which any company could have. So it has a solid history of what changes made since number of users can use the software.

Cons

This software takes minimum 3 seconds to update any change which any one made. However, this is not a huge issue in order to maintain and update the records.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AN

Anonymous User

HR Mananger

Hospitality

### "Friendly Business Plan Template"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

December 28, 2021

Though it was quite challenge at the beginning to use the software but it's very convenient if you can use it. The report template is the best.

Pros

I like the efficiency template of the software. In my role, I use it for manning & salary budgeting and forecasting. It's easy like 1-2-3. The system allows you to input the number of salary and after you click safe button, it will save and sum up with the annual salary. Besides, you can input all other employee benefits and it works the same way for calculation.

Cons

As it is on cloud system, it sometimes workload when there are a lot of users use it at the same time and the auto saving is mulfunction.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

AN

Anonymous User

Enterprise Resilience Officer

Financial Services

### "Promising tool for the future"

3.0

Overall Rating

3.0

3.0

Ease of Use

3.0

3.0

Features

4.0

4.0

Customer Service

0.0

0.0

Likelihood to Recommend

7/10

July 26, 2021

Stable, little issues experienced. Customer services support could be improve to reduce recovery time during minor issue resolution

Pros

It possesses expansive features. Its advanced technology embedded within can be felt while using it. Has the essence to be a market leading product.

Cons

Basically very stable but need advanced maintenance and installation / troubleshooting expertise. Need a team of advanced, well trained technician to maintain.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

MU

Mohammad Usman Ali K.

HR Associate

Information Technology and Services

### "Import data from various resources"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

July 18, 2021

Arguably the one of the finest software that I use but need some improvement so that we can take better benefit from him.

Pros

This software helps me to get a rapid association of information sources from various ranges and enables me to generally change how to break down and follow up on data.

Cons

The main problem is if you have a poor internet connection then don't use this software. This software takes a longer time to import data to show the data visualization.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

[View all Reviews](https://www.capterra.com/p/170920/Oracle-Analytics-Cloud/reviews/)

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