---
title: "OpenText Analytics Cloud Software Pricing, Alternatives & More 2026 | Capterra"
description: "With the help of Capterra, learn about OpenText Analytics Cloud Software - reviews, pricing plans, popular comparisons to other Dashboard products and more."
source_url: "https://www.capterra.com/p/177019/OpenText-Analytics-Suite/"
page_type: "product"
language: "en"
---

# 

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

Last updated on September 16, 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)

OpenText Analytics Cloud

## What is OpenText Analytics Cloud?

OpenText Magellan is an AI and Analytics platform with scalable analytics data visualization capabilities that enables business users to create, share, and interact with dashboards and reports, fed from multiple data sources, and gives IT leaders and their teams the ability to design, deploy, and manage secure, interactive web applications.

## What is OpenText Analytics Cloud used for?

[Data Visualization](https://www.capterra.com/data-visualization-software/)[Reporting](https://www.capterra.com/reporting-software/)[Qualitative Data Analysis](https://www.capterra.com/qualitative-data-analysis-software/)

Top alternative

Featured

Overall rating

Based on 1 user reviews

Reviews sentiment

Positive

\-

Neutral

\-

Negative

\-

Starting price

$0.01

Per User, Per Month

Free trial  
available

Free version not included

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 OpenText Analytics Cloud?[Manage this product listing](https://www.g2.com/products/opentext-analytics-cloud/claim_requests/new?auto=true)

## 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.

### OpenText Analytics Cloud

5.0 (1)

VS.

[4.5 (286)](https://www.capterra.com/p/169053/Looker/reviews/)

Starting Price

$0.01

per user, per month

Starting Price

Contact vendor

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

5.0 (1)

Ease Of Use

4.3 (2,354)

Value For Money

0.0 (0)

Value For Money

4.4 (1,539)

Customer Service

0.0 (0)

Customer Service

4.5 (1,453)

## OpenText Analytics Cloud alternatives

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

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

92%

of reviewers

rated it above 4 stars

Highest Rated

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

[4.6 (2,362)](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/)

[JMP](https://www.capterra.com/p/151815/JMP-Statistical-Software/)

[4.5 (53)](https://www.capterra.com/p/151815/JMP-Statistical-Software/reviews/)

Starting price

$1390.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

92%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/151815/JMP-Statistical-Software/)

[Domo](https://www.capterra.com/p/119119/Domo/)

[4.3 (331)](https://www.capterra.com/p/119119/Domo/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

85%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/119119/Domo/)

## FAQs about OpenText Analytics Cloud

Overview

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

OpenText Analytics Cloud is designed for enterprise organizations across industries that need analytics to address Big Data integrity, cyber security, internal differences in analytics expertise, and operational efficiency challenges.

Features and Usability

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

OpenText Analytics Cloud offers AI/Machine Learning, predictive analytics, and statistical modeling for analysis and forecasting. It also includes data connectors, data blending, data cleansing, and data warehousing for data preparation, plus customizable dashboards, interactive reports, KPI monitoring, visual analytics, and workflow automation for reporting and decision support.

Getting Started and Support

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

OpenText 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 topic sessions, documentation serves as written reference, and videos offer self-paced viewing.

Getting Started and Support

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

OpenText Analytics Cloud provides Email/Help Desk, Knowledge Base, Phone Support, and Chat. No reviewer feedback about support is available in the catalog data, so support quality, response times, and user experience cannot be assessed from reviewer sentiment here.

## Features

AI summary

Based on 5,579 Dashboard reviews

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

-   **Generative AI** (**35%** of reviewers rated this feature as critical)
-   **Data Import/Export** (**31%**)
-   **Natural Language Processing** (**34%**)

OpenText Analytics Cloud includes **Data Import/Export** and **Natural Language Processing**, giving teams the ability to move data in and out of the system and work with text-based inputs more effectively. However, it does not offer **Generative AI**. Instead, it provides other features that reviewers also rate as important, including **Chatbot** (**42%**), **Machine Learning** (**33%**), and **Multi-Language** (**29%**). These capabilities help businesses automate interactions, find patterns in data, and support users across different languages, allowing teams to improve analysis and deliver more responsive AI-driven experiences.

Activity Dashboard

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

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

API

Application programming interface that allows for integration with other systems/databases

Application Development

Build unique software tools based on your specific requirements

OpenText Analytics Cloud 100 features

### All Features
- Activity Dashboard: Dashboard to view the status of ongoing processes, identify current incidents and track past activities
- 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
- API: Application programming interface that allows for integration with other systems/databases
- Application Development: Build unique software tools based on your specific requirements
- Association Discovery: Machine learning method, based on rules, to find interesting relationships between variables in large databases
- Bayesian Analysis: A statistical method, based on Bayesian inference, that expresses unknown parameters as probability statements
- Benchmarking: Compare key metrics for the business against prominent players in the industry
- Categorization/Grouping: Organize and group data or items based on various criteria
- Charting: Manage patient documentation describing all clinical interactions, diagnoses, procedures, medications, etc.
- Chatbot: AI-based platform which conducts a conversation via auditory or textual methods
- Collaboration Tools: Provides a channel for team members to share AI models, media files, communicate, and work together
- Compliance Tracking: Track and report regulatory data to either internal management or external stakeholders
- Cost Analysis: Analyze and calculate business costs
- Customizable Dashboard: Alter the layout and content of dashboards
- Customization: Create labels for products that contain required information such as colors, sizes, dates, etc.
- Dashboard: Assembly of graphs and charts for visualizing and tracking statistics/metrics
- Data Blending: Merge data from multiple sources to a single data set
- Data Capture and Transfer: Import, collect, and capture data from multiple sources
- Data Cleansing: Removes data that is incomplete, inaccurate, or irrelevant from a dataset
- 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 Management: Ability to handle large datasets
- Data Modeling: Conceptual model of how data items relate to each other
- Data Visualization: Graphical representation of data
- Data Warehousing: Central repositories of integrated data from various sources
- Demand Forecasting: Forecast customer demand using historical insights and simulations
- Document Management: Store, manage, and track all electronic documents in a centralized location
- Drag & Drop: Assemble applications and processes by dragging over and arranging pre-built components
- File Storage: Store and access documents, forms, and photos in one centralized place
- Filtering: Find & retrieve relevant data or documents
- Financial Reporting: Generate reports to assess the financial performance of an organization
- For eCommerce: Intended to be used by online stores
- For Education: Used for educational purposes
- For Healthcare: Software designed for the healthcare industry
- For Sales Teams/Organizations: Caters to sales teams
- Forecasting: Form predictions based on past and present data/trends
- Functions/Calculations: Perform various mathematical calculations using the data
- High Volume Processing: Process and analyze large volume of data
- Integration into Third Party Applications: Embed/link applications into third party software so it can be accessed within a third party system
- Interactive Reports: Edit and personalize data view as needed
- Key Performance Indicators: Quantifiable metrics to track objectives, gauge milestones, and evaluate the success of a particular activity
- KPI Monitoring: Tracking the status of previously identified performance measurements
- Language Detection: Identify different languages
- Machine Learning: Enable businesses to implement machine learning algorithms on business data such as sales and revenue
- Marketing Reports: Reports specific to marketing and associated campaigns
- ML Algorithm Library: Share, track, and store machine learning models and data.
- Mobile App: Access the system via a mobile application
- Model Training: Process of testing an ML algorithm by feeding it training data to learn from
- Modeling & Simulation: Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making
- Multi-Language: Manage and support multiple languages
- Multi-User Collaboration: Two-way actions and communication between multiple users in real time
- Multiple Data Sources: Allows users to manage data from a number of sources
- Multivariate Analysis: Analysis of data sets that contain more than one variable
- Natural Language Processing: Process and analyze human language in text or audio form
- 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.
- Private Dashboards: Share dashboard screen within private user groups
- Profitability Analysis: Evaluate the degree to which business operations bring monetary gains
- Public Dashboards: Publish dashboard publicly on various platforms
- Publishing/Sharing: Share pre-configured sets of data organized and presented in a specific manner with the organization
- Real-Time Analytics: Analyze and gain insights into data in real-time
- Regression Analysis: Analysis to understand which of the independent variables are related to the dependent variable
- Relational Display: Relationship diagram view that arranges items in data based on the relationships between them in a freeform graph.
- 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
- Sales Reports: Reports specific to sales analysis for trends and strategies
- 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
- Scorecards: Visual representation of performance data, enabling users to monitor progress, identify trends, and make data-driven decisions
- Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria
- Self Service Data Preparation: Access, combine, transform, and store data without the help of an IT department
- Self-service Analytics: Generate reports on your own without IT involvement
- Sensitive Data Identification: Identify sensitive or personal information collected from users
- Sentiment Analysis: Categorize emotions expressed and identify if they are positive, negative or neutral
- Speech Recognition: Train your system to interpret and transcribe voice messages
- Statistical Analysis: Apply statistical/mathematical models to sets of data
- Statistical Process Control: Statistical methods to assist with and maintain quality control of processes
- Statistical Simulation: Assess the performance of a method by picking a random sample from a normal distribution
- Strategic Planning: At a high level, visualize a preferred outcome, define goals and identify specific steps to achieve them
- Survival Analysis: Analyze the expected duration of time until one or more events occur
- Tagging: Attach digital tags to documents and assets for identification, search, or monitoring purposes
- Templates: Sample files or documents that could be customized as needed or used as is
- Text Analysis: Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc
- Third-Party Integrations: Set up connections to third-party platforms to improve business processes
- Time Series Analysis: Series of data points indexed in time order
- Topic Clustering: Identify topics to prioritize document research
- Trend Analysis: Review data from past periods to reveal recurring tendencies and predict future performance
- Trend/Problem Indicators: Visually identify direction of development and areas that require attention
- 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.
- Website Analytics: Track and analyze information regarding website visitors
- Widgets: An extended application or connector that enables users to perform additional services with their current set of tools
- Workflow Automation: Streamlining repetitive tasks and activities through automated and predefined workflows
- Workflow Management: Create, design and manage workflows for repetitive tasks

---

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Features

5.0 (1)

5.0

Based on 1 reviews

## Pricing

Free Trial

Basic

$0.01

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## Support, customer service and training options

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

## User reviews

Overall rating

5.0

Based on 1 reviews

Filter by rating

5(1)

4(0)

3(0)

2(0)

1(0)

Mentioned topic

Sorted by most recent

NA

Noor A.

CTO

Computer Software

### "An easy to integrate BI tool"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

0.0

0.0

Likelihood to Recommend

9/10

November 14, 2018

I would suggest that BIRT spend more money on marketing as it has not gained as much as name as Crystal Reports did even though, I think BIRT is better than Crystal Reports.

Pros

BIRT tool is very easy to integrate with your system / database and provides a very rich user interface experience. And the best part is, you can inject Javascript code to make additional changes on top of what they provide. I would strongly recommend considering BIRT if you need any kind of reporting service and analytics. I found it to be better and easier than Crystal Reports and rich with functionalities.

Cons

BIRT did not get enough recognition in the industry like Crystal Reports did. As a result, if you are trying to sell your system and BIRT is advertised, I would strongly suggest that you showcase the functionalities and what you can achieve with this so that your product doesn't get negatively rated by a possible customer.

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.

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