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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 (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
ProductMindshare (%)
OpenText Application Quality Management7.5%
Digital.ai Agility2.7%
Other89.8%
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."
"I prefer Agility out of the three applications we work with because it has the most flexibility and can work at a higher level."
"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."
"The most valuable thing is kind of the whole package together."
"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."
"The solution is excellent for collaboration; from the agility point of view, they have very good sprint functionality, allowing you to set up sprints effectively."
"It allows my clients to have one central tool to manage their agile projects."
"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."
"HPE ALM is a relevant product that assists with test delivery, execution, and management within a project-driven environment."
"Very robust API to interface with the tool and you can customize how it is used."
"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."
"The stability is very good."
"ALM allows everyone to work at the same time, doing defects and reporting the same way."
"The execution module and the test planning module are definitely the most valuable features. The rest we use for traceability, but those are the two modules that I cannot live without."
"This solution is open and very easy to integrate. The interface is good too."
"The ability to have visibility of manual and automated test results within the one product certainly cuts down on the management overhead and eases the creation of project health reports."
 

Cons

"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."
"The response from Digital.ai Agility is a little bit slow and could be faster."
"It was not supporting some plugins. We wanted to migrate data that we were already using."
"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."
"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."
"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 QA needs improvement."
"This is a great test management tool, but it is very expensive."
"The project tracking is a bit complex. It takes some time to maneuver around it."
"I frankly don't recommend Micro Focus solutions. The support is not good and the documentation is not consistent."
"User-friendliness, it requires some time to get used to."
"ALM has not directly assisted scalability. I wouldn't say ALM assists with scalability at all."
"QC comes with a high license and maintenance cost, it is more suitable for large projects in terms of cost."
"Certainly on the UI part, it has to be improved to make it user-friendly and more presentable."
 

Pricing and Cost Advice

"You get what you pay for. Don't let your development teams dictate what the portfolio management team should use as the main tool."
"Comparing the pricing to other products, I think this solution is in the middle."
"We have divided our licenses between Micro Focus ALM and ALM Octane. It works for us."
"Micro Focus ALM Quality Center is very expensive. The price is approximately £2,000 per person, they are too expensive to corner the market."
"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 all comes down to how many people are going to access the tool. When teams go above 20, I think ALM is a better tool to use from a collaboration and streamlining perspective."
"For pricing, I recommend to buy a bundled package. Check the HPE site for more details."
"Pricing is managed by our headquarters. I am able to get from them for very cheap. The market price is horribly expensive."
"We pay around $30,000 for thirty users, translating to approximately $6,000 to $10,000 per user, which is high."
"The solution was expensive for us."
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Top Industries

By visitors reading reviews
Manufacturing Company
13%
Insurance Company
12%
Construction Company
9%
Financial Services Firm
9%
Manufacturing Company
12%
Financial Services Firm
12%
Construction Company
10%
Performing Arts
6%
 

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: August 2026.
908,858 professionals have used our research since 2012.