Digital.ai Agility vs OpenText Application Quality Management comparison

Digital.ai Agility vs. OpenText Application Quality Management

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Digital.ai Agility

Ranking in Application Lifecycle Management (ALM) Suites

15th

Average Rating

8.4

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Release Automation (13th), Enterprise Agile Planning Tools (8th), Value Stream Management Software (5th)

OpenText Application Qualit...

Ranking in Application Lifecycle Management (ALM) Suites

3rd

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

208

Ranking in other categories

Quality Management Software (1st), Test Management Tools (1st)

Mindshare comparison

As of August 2026, in the Application Lifecycle Management (ALM) Suites category, the mindshare of Digital.ai Agility is 2.7%, up from 1.9% compared to the previous year. The mindshare of OpenText Application Quality Management is 7.5%, up from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Lifecycle Management (ALM) Suites Mindshare Distribution
Product	Mindshare (%)
OpenText Application Quality Management	7.5%
Digital.ai Agility	2.7%
Other	89.8%

Application Lifecycle Management (ALM) Suites

Featured Reviews

JaiBharath Boithi

Data Scientist at a tech vendor with 51-200 employees

Agile planning has improved daily coordination but reporting and dashboards still need more flexibility

I would like to see more advanced reporting and analytics customization. The existing dashboards are useful for tracking velocity, backlog, and delivery, but deeper real-time insights would improve decision-making. I would also like simpler integrations and more flexibility, especially across large teams and complex projects. Another improvement I would like is more flexible reporting and dashboard customization, especially for creating organization-specific metrics. More intuitive visualizations would also help. Digital.ai Agility can be improved mainly by making reporting and dashboard customization more flexible and intuitive. I would also like simpler integrations with third-party tools and easier configurations of automated workflows. Better dependency visualizations and real-time alerts for delivery risk would help large teams identify blockers earlier. The user interface could also be simplified to make it easier for new users. Overall, these improvements would make day-to-day planning, reporting, and cross-team coordination more efficient. There are a few areas where improvements are needed. I would like to see further improvements in user experience and navigation, especially making commonly used features easier to access for new users. More intuitive dashboard customization, better dependency visualization, and simpler third-party integrations would also help.

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Greg Stone

Partner at IS Nordic AS

Manages multiple releases seamlessly

We have done some work with companies, probably four or five years ago and found the ability to manage multiple releases simultaneously as a main advantage, especially in complex programs with multiple concurrent releases. Running automated tests against back-level versions in certain environments is possible, and newer versions can be tested as well. It creates constant visibility into the test process, showing the status, bugs, and automated test results. It is a solid product in large corporations in Denmark, ensuring everyone knows where the process stands. There is a good understanding of what is critical, allowing prioritization of test cases.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"You can use Digital.ai Agility for automating your tasks and creating your dashboard."

"For visualization capabilities, the automation capabilities make it possible to support the different personas. The features and capabilities are excellent and come with excellent support."

"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."

"Agility is highly flexible. It can do much more than what our client is doing with it. They use it in a defined way. Some at that company have a much broader knowledge of agile and SAFe, but they're given applications and a mandated way to work. We had to work within their parameters and provide an accurate transition so the data would be mapped and pushed through."

"With some of the other tools, you have to buy 20 different plugins to get to the same capability that comes with the basic Agility capability."

"The most valuable thing is kind of the whole package together."

"VersionOne delivers a total ALM solution for whether you are operating a single team, like Scrum and Kanban for IT operations, or implementing an agile enterprise approach, like SAFe."

"I prefer Agility out of the three applications we work with because it has the most flexibility and can work at a higher level."

More Digital.ai Agility pros

"From reporting to team management, everything is better now."

"OpenText ALM Quality Center is highly customizable."

"It has improved our testing designs and test reporting."

"Different modules (e.g. Requirements, Test Plan, Test Lab) provide traceability from requirements, test cases, and defects, along with project analysis in terms of progress via the dashboard reports."

"The ability to integrate this solution with other applications is helpful. If there is automation, it comes with improved quality and speed."

"Life was made easy by shifting the MS Office documentation to the product."

"For any company that wants a mature, highly developed platform that is constantly improving and needs to survive audits, you must consider HP ALM solutions such as HP Quality Center."

"Test management for multiple products, risk-based testing, requirements mapping, and reporting."

More OpenText Application Quality Management pros

Cons

"It was not supporting some plugins. We wanted to migrate data that we were already using."

"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."

"The machine learning features are a new capability but could be improved. This is being worked by Digital.ai currently. Multicolor simulation, specifically, could be improved."

"Improve how to create and track releases. Currently, I have to create child projects."

"In my work as a contractor, it's always frustrating when a client has multiple software applications that don't talk to each other and they all perform the same function. That presents a huge challenge between their IT groups."

"The user interface could also be simplified to make it easier for new users."

"The user interface can be improved by adding Save, Edit, Add, Cancel, and Return buttons to the popup windows that are displayed when you click on a child item."

"The response from Digital.ai Agility is a little bit slow and could be faster."

"Certainly on the UI part, it has to be improved to make it user-friendly and more presentable."

"There could be more configurable workflows regarding test case creation approval."

"Lacks sufficient plug-ins."

"We have had a poor experience with customer service and support, and sometimes, we do not get responses from them."

"I'd like to see them move away from a desktop-type client and towards a web-based client, although we've also had ActiveX issues with web clients."

"The technical support is average. We aren't unhappy with them. However, we don't find them to be exceptional."

"An area for improvement in Micro Focus ALM Quality Center is not being able to update the Excel sheet where I wrote the test cases. Whenever I update some test cases, I'm unsuccessful because there is overlapping data or missing cases from the sheet."

"Backup strategy is lacking in QC. Once the QC server crashes, all your automation artifacts are unrecoverable."

More OpenText Application Quality Management cons

Pricing and Cost Advice

"Comparing the pricing to other products, I think this solution is in the middle."

"You get what you pay for. Don't let your development teams dictate what the portfolio management team should use as the main tool."

"It is an expensive tool. I think one needs to pay 10,000 USD towards the perpetual licensing model."

"The cost of licensing depends on the number of VMs that you are running test cases on and it is not cheap."

"We have divided our licenses between Micro Focus ALM and ALM Octane. It works for us."

"It has several limitations in adapting its agility easily."

"I feel that the licenses are expensive. "

"Sure, HP UFT is not free. But consider what you get for that cost: A stable product that is easy to use; the kitchen sink of technology stack support; decades of code (which in many cases actually is free); a version that is a stepping stone to an easier Selenium design; and a support base that is more that just the kindness of strangers."

"Seat and concurrent licensing models exist; the latter is recommended if a large number of different users will be utilizing the product."

"Most vendors offer the same pricing, though some vendors offer a cheaper price for their cloud/SaaS solution versus their on-premise. However, cloud/SaaS solutions result in a loss of freedom. E.g., if you want to make a change, most of the time it needs to be validated by the vendor, then you're being charged an addition fee. Sometimes, even if you are rejected, you are charged because it's a risk to the entire environment."

More OpenText Application Quality Management pricing and cost advice

See which vendors are best for you

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910,454 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Manufacturing Company

13%

Insurance Company

12%

Construction Company

Financial Services Firm

Manufacturing Company

12%

Financial Services Firm

12%

Construction Company

10%

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	41
Midsize Enterprise	32
Large Enterprise	161

Questions from the Community

What needs improvement with Digital.ai Agility?

The response from Digital.ai Agility is a little bit slow and could be faster.

What is your primary use case for Digital.ai Agility?

My main use case for Digital.ai Agility is learning to create a dashboard and prompt engineering. I am trying to automate my tasks by automating the dashboard.

What advice do you have for others considering Digital.ai Agility?

You can use Digital.ai Agility for automating your tasks and creating your dashboard. I would rate this product an 8.

What is your experience regarding pricing and costs for Micro Focus ALM Quality Center?

The on-premises setup tends to be on the expensive side. It would be cheaper to use a cloud model with a pay-per-use licensing model.

What needs improvement with Micro Focus ALM Quality Center?

Regarding integration with various development tools, I can provide examples, and I am using customizable dashboards in OpenText ALM _ Quality Center, which definitely help identify project bottlen...

What is your primary use case for Micro Focus ALM Quality Center?

People are using OpenText ALM _ Quality Center for recording user cases, testing and hand documentation, defect tracking, business purposes, and reporting.

Jira vs Digital.ai Agility

Comparisons

Compared 13% of the time

TFS vs Digital.ai Agility

Compared 6% of the time

Microsoft Azure DevOps vs Digital.ai Agility

Compared 6% of the time

Rally Software vs Digital.ai Agility

Compared 6% of the time

Basis ActiveControl vs Digital.ai Agility

Compared 4% of the time

More Digital.ai Agility Competitors

Microsoft Azure DevOps vs OpenText Application Quality Management

Compared 25% of the time

Jira vs OpenText Application Quality Management

Compared 5% of the time

Zephyr Enterprise vs OpenText Application Quality Management

Compared 4% of the time

TFS vs OpenText Application Quality Management

Compared 3% of the time

OpenText Software Delivery Management vs OpenText Application Quality Management

Compared 3% of the time

More OpenText Application Quality Management Competitors

Product Reports

Digital.ai Agility

Download Digital.ai Agility product report

OpenText Application Quality Management

Download OpenText Application Quality Management product report

OpenText Application Quality Management report

Also Known As

VersionOne Lifecycle, VersionOne, CollabNet VersionOne, Digital.ai Continuum

Micro Focus ALM Quality Center, HPE ALM, Quality Center, Quality Center, Micro Focus ALM, OpenText Quality Manager

Overview

Digital.ai Agility provides powerful visualization, automation, multiple planning levels, and integration capabilities, promoting efficient task management and organizational alignment.

Digital.ai Agility efficiently supports development tasks, facilitating agile frameworks like Scrum, Kanban, and SAFe. It offers strong collaboration features, automation capabilities, and seamless integrations. While it could improve its machine learning and analytics integration, it enables planning release automation and backlog management, assisting in strategic theme definition and linking portfolio items. Its sprint functionality, value stream creation, and team velocity calculations stand out for users.

What critical features does Digital.ai Agility offer?

Visualization: Robust tools to create clear development roadmaps.
Automation: Reduces manual effort and enhances workflow efficiency.
Integration: Supports integration with tools like Jira and Azure DevOps.
Planning Levels: Manages multiple iteration plans and "what if" scenarios.

What benefits should users expect?

Team Productivity: Supports agile frameworks and reduces plugin needs.
Goal Alignment: Links development tasks with strategic objectives.
Collaboration: Enhances teamwork with effective Scrum boards.
Flexibility: Facilitates transitions from other platforms.

Digital.ai Agility is widely used across industries for deployment standardization and release automation. It helps organizations manage backlogs and create intuitive dashboards, enabling them to adapt to different project management methodologies, suitable for both software and non-software teams.

Digital.ai

OpenText Application Quality Management offers centralized data management, traceability, and integration capabilities. It aids in handling requirements, test planning, and defect tracking while supporting both manual and automated testing. Challenges exist in deployment and browser compatibility.

Known for its robust reporting and flexibility, OpenText Application Quality Management is tailored for large organizations requiring a comprehensive solution supporting lifecycle coverage and seamless tool integration. Users can consolidate testing processes, manage requirements, and centralize reporting across manual and automated testing. While some face issues with project tracking, outdated interfaces, and limited browser compatibility beyond Internet Explorer, it remains widely used for regression and performance testing. Integration with tools like JIRA and support for tools such as UFT and ALM PC underscore its utility.

What are the key features of OpenText Application Quality Management?

Centralized Data Management: Consolidates and organizes testing data efficiently.
Traceability: Ensures traceability across all stages of the testing lifecycle.
Integration Capabilities: Connects seamlessly with automation and other essential tools.
Test Planning and Execution: Supports both manual and automated tests in a streamlined manner.
Advanced Reporting: Provides robust options to generate insightful test reports.
Customization: Offers tailored solutions to fit specific organizational needs.

What benefits should users look for in reviews?

Efficiency: Increases test management efficiency across projects.
Scalability: Adapts to the varying scope of large-scale projects.
Lifecycle Coverage: Comprehensive management from requirement to defect tracking.
User-Friendly Interface: Designed for ease of use despite needing updates.
Cost-Effectiveness: Balances high initial costs with long-term savings through efficient testing management.

In industries such as finance and healthcare, OpenText Application Quality Management is implemented to ensure rigorous testing standards. It supports test case creation and execution, defect tracking, and requirements management. Integration with JIRA and performance testing tools make it suitable for organizations needing synchronized testing environments.

OpenText

Sample Customers

Siemens Health Services (HS), Cerner Corporation, Aaron's, Federal Home Loan Bank of Atlanta, Kelley Blue Book, AOL, Axway, Tideworks, bwin Interactive Entertainment, AG, Intergraph, Eos Group, PeopleCube, Liquid Machines

Airbus Defense and Space, Vodafone, JTI, Xellia, and Banco de Creìdito e Inversiones (Bci)

Digital.ai Agility vs. OpenText Application Quality Management