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Digital.ai Agility vs OpenText Application Quality Management comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 1, 2026

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
8.6
Reviews Sentiment
5.7
Number of Reviews
7
Ranking in other categories
Release Automation (11th), 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 July 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 7.2%, up from 5.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Lifecycle Management (ALM) Suites Mindshare Distribution
ProductMindshare (%)
OpenText Application Quality Management7.2%
Digital.ai Agility2.7%
Other90.1%
Application Lifecycle Management (ALM) Suites
 

Featured Reviews

Abhishek Kumar Singh - PeerSpot reviewer
Workload Automation at nab
Automating dashboards has saved time and now supports prompt-driven task workflows
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 The best feature Digital.ai Agility offers me so far is that I write a prompt and receive the result for that. I see the time saving with…
GS
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.

Quotes from Members

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

Pros

"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"Digital.ai Agility helped our organization define the Enterprise Value Streams, and in the tool you can derive all user stories, features, and epics from the top-level portfolio items and value streams so any work that is done must contribute to the value streams, otherwise it should be questioned why that effort is being executed."
"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."
"I prefer Agility out of the three applications we work with because it has the most flexibility and can work at a higher level."
"It allows my clients to have one central tool to manage their agile projects."
"You can use Digital.ai Agility for automating your tasks and creating your dashboard."
"The most valuable thing is kind of the whole package together."
"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."
"Technical Support is great and always responsive to solve the issues."
"The ability to determine traceability between requirements, tests and defects found in our testing process is a huge advantage in determining the breakdown in the application business model."
"Allows us to do defect resolution from logging to resolution."
"We have developers, project managers, stakeholders, everybody referring to one single point-of-truth for everything that is related to a project, from requirements, test cases, coverage, defect tracking, and reporting."
"I love linking/associating the requirements to a test case. That's where I get to know my requirement coverage, which helps a lot at a practical level. So, we use the traceability and visibility features a lot. This helps us to understand if there are any requirements not linked to any test case, thus not getting tested at all. That missing link is always very visible, which helps us to create our requirement traceability matrix and maintain it in a dynamic way. Even with changing requirements, we can keep on changing or updating the tool."
"Prior to using Quality Center, my organization used spreadsheets and emails to track testing efforts, therefore, QC helped my team become more efficient by tracking all testing activities with the tool."
"It provides the entire test management suite, right from the initial phase of testing till the delivery."
"You can plan ahead with all the requirements and the test lab set it up as a library, then go do multiple testing times, recording the default that's in the system."
 

Cons

"The response from Digital.ai Agility is a little bit slow and could be faster."
"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 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."
"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 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."
"Improve how to create and track releases. Currently, I have to create child projects."
"It has a very large footprint, and takes an inordinate amount of time to load the components and seems to need to do this quite frequently."
"If they could improve their BPT business components that would be good"
"The extract format is not ideal, splitting expected results into three line items, making interpretation difficult."
"There needs to be improvement in the requirement samples. At the moment, they are very basic."
"It is expensive."
"I think the biggest challenge with ALM is getting useful data in one place."
"The solution's reporting could be improved."
"High licensing cost."
 

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."
"Seat and concurrent licensing models exist; the latter is recommended if a large number of different users will be utilizing the product."
"Micro Focus ALM Quality Center is very expensive. The price is approximately £2,000 per person, they are too expensive to corner the market."
"This is an expensive solution."
"The full ALM license lets you use the requirements tab, along with test automation and the Performance Center. You can also just buy the Quality Center edition (Manual testing only), or the Performance Center version (Performance Testing only)."
"It has several limitations in adapting its agility easily."
"The enterprise pricing and licensing are reasonable."
"For pricing, I recommend to buy a bundled package. Check the HPE site for more details."
"Pricing could be improved as it's high-priced. I don't exactly know the pricing point, but previously, I know that it was really high so less people were able to use it for their projects."
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Top Industries

By visitors reading reviews
Manufacturing Company
13%
Insurance Company
12%
Construction Company
10%
Financial Services Firm
9%
Manufacturing Company
13%
Financial Services Firm
12%
Construction Company
9%
Performing Arts
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Large Enterprise5
By reviewers
Company SizeCount
Small Business41
Midsize Enterprise32
Large Enterprise161
 

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.
 

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

 

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)
Find out what your peers are saying about Digital.ai Agility vs. OpenText Application Quality Management and other solutions. Updated: June 2026.
906,852 professionals have used our research since 2012.